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Monitoring genetic gains within breeding programs is a critical component for continuous improvement. While several national breeding programs in Africa have assessed genetic gain using era studies, this study is the first to use two decades of historical data to estimate genetic trends within a national breeding program. The objective of this study was to assess genetic trends within the final two stages of Zimbabwe's Department of Research & Specialist Services maize breeding pipeline between 2002 and 2021. Data from 107 intermediate and 162 advanced variety trials, comprising of 716 and 398 entries, respectively, was analyzed. Trials were conducted under optimal, managed drought stress, low nitrogen stress, low pH, random stress, and disease pressure (maize streak virus (MSV), grey leaf spot (GLS), and turcicum leaf blight under artificial inoculation. There were positive and significant genetic gains for grain yield across management conditions (28-35 kg ha-1 yr-1), under high-yield potential environments (17-61 kg ha-1 yr-1), and under low-yield potential environments (0-16 kg ha-1 yr-1). No significant changes were observed in plant and ear height over the study period. Stalk and root lodging, as well as susceptibility to MSV and GLS, significantly decreased over the study period. New breeding technologies need to be incorporated into the program to further increase the rate of genetic gain in the maize breeding programs and to effectively meet future needs. [ABSTRACT FROM AUTHOR]

Background: Stretchability is the most important sensory textural attribute considered by consumers of pounded yam. It is important both for the processor during pounding and for the consumer during consumption to measure this attribute while screening large populations of yam genotypes intended for advanced breeding and eventual adoption. Texture determined by sensory evaluation and consumer perception is time consuming and expensive. It can be instrumentally mimicked by texture analyzer, thereby providing an efficient alternative screening tool. Results: Two instrumental methods (uniaxial extensibility and lubricated squeezing flow) were applied to assess the extensional properties of pounded yam. In order to evaluate the accuracy, repeatability and discrimination of the methods, six yam genotypes with contrasting extensional properties, previously evaluated by 13 panellists in terms of stretchability and moldability and by 99 participants randomly selected in terms of overall liking, were used. Both methods allowed the discrimination of different genotypes as a function of extensional properties. Principal components showed that the genotypes were grouped within separate components associated with specific sensory attributes and their related instrumental texture parameters. Moreover, significant correlations were found between uniaxial extensibility textural attributes, bi‐extensional viscosity and consumer overall liking. However, the sensory attributes were not significantly correlated with instrumental data and consumer overall liking. Conclusion: Bi‐extensional viscosity and uniaxial extensibility attributes can be used to discriminate and screen yam genotypes for their stretchability characteristics. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

BACKGROUND: It has recently become increasingly evident that banana projects in Uganda need to consider consumer preferences as part of the breeding process to increase the acceptability of new cultivars. A trained panel used quantitative descriptive analysis (QDA) as a tool to assess the sensory characteristics of 32 cooking bananas (matooke). The aim was to investigate which sensory characteristics best describe matooke. RESULTS: Fourteen descriptors were generated. The preferred attributes of matooke were high‐intensity yellow color, homogeneous distribution of yellow color, good matooke aroma, highly moldable by touch, moist and smooth in the mouth. Analysis of variance revealed significant differences in the yellowness, homogeneity of color, firmness, moistness, smoothness, matooke aroma, hardness, and moldability across the genotypes (P < 0.05). Principal component analysis (PCA) showed strong positive correlations between yellowness and homogeneity of the color (R = 0.92). Smoothness in the mouth and moldability by touch were strongly and positively correlated (R = 0.88). Firmness in the mouth was well predicted by hardness to touch (R2 = 0.85). The matooke samples were ranked into two sensory clusters by agglomerative hierarchical clustering (AHC). CONCLUSION: The study showed attribute terms that could be used to describe matooke and also revealed that QDA may be used as a tool during the assessment and selection of new cooking banana hybrids to identify relevant sensory attributes because of its ability to discriminate among the banana hybrids. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Breeding for low-hydrogen-cyanide (HCN) varieties is a major objective of programs targeting boiled cassava food products. To enhance the breeding of low-HCN varieties, knowledge of genetic variation and trait heritability is essential. In this study, 64 cassava clones were established across four locations and evaluated for HCN using three HCN assessment methods: one with a 1 to 9 scale, on with a 0 ppm to 800 ppm scale, and a quantitative assay based on spectrophotometer readings (HCN_Spec). Data were also collected on the weather variables precipitation, relative humidity, and temperature. Highly significant differences were observed among clones (p < 0.001) and locations (p < 0.001). There was also significant clone–environment interactions, varying from p < 0.05 to p < 0.001. Locations Arua and Serere showed higher HCN scores among clones and were associated with significantly higher (p < 0.001) mean daily temperatures (K) and lower relative humidity values (%) across 12 h and 18 h intervals. Within locations, HCN broad sense heritability estimates ranged from 0.22 to 0.64, while combined location heritability estimates ranged from 0.14 to 0.32. Relationships between the methods were positive and strong (r = 0.75–0.92). The 1 to 9 scale is more accurate and more reproducible than either the 0 to 800 ppm scale or spectrophotometric methods. It is expected that the information herein will accelerate efforts towards breeding for low-HCN cassava varieties. [ABSTRACT FROM AUTHOR]

Monitoring genetic gains within breeding programs is a critical component for continuous improvement. While several national breeding programs in Africa have assessed genetic gain using era studies, this study is the first to use two decades of historical data to estimate genetic trends within a national breeding program. The objective of this study was to assess genetic trends within the final two stages of Zimbabwe’s Department of Research & Specialist Services maize breeding pipeline between 2002 and 2021. Data from 107 intermediate and 162 advanced variety trials, comprising of 716 and 398 entries, respectively, was analyzed. Trials were conducted under optimal, managed drought stress, low nitrogen stress, low pH, random stress, and disease pressure (maize streak virus (MSV), grey leaf spot (GLS), and turcicum leaf blight under artificial inoculation. There were positive and significant genetic gains for grain yield across management conditions (28–35 kg ha-1 yr-1), under high-yield potential environments (17–61 kg ha-1 yr-1), and under low-yield potential environments (0–16 kg ha-1 yr-1). No significant changes were observed in plant and ear height over the study period. Stalk and root lodging, as well as susceptibility to MSV and GLS, significantly decreased over the study period. New breeding technologies need to be incorporated into the program to further increase the rate of genetic gain in the maize breeding programs and to effectively meet future needs.

Copyright of Folia Pomeranae Universitatis Technologiae Stetinensis Agricultura Alimentaria Piscaria et Zootechnica is the property of West Pomeranian University of Technology in Szczecin and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the modern world, conventional potato breeding system largely relies on summer cultivation. Winter potato breeding has not been reported until 2003, and till now, there is no systematic and comprehensive winter potato breeding system. Yunnan Province enjoys a unique vertical climate advantage that allows fresh potatoes to be available year-round. The potatoes are on market off-season in winter, which not only meets the demand of the domestic fresh food market in winter, but also has high benefits for potato farmers. However, currently, the main winter potato varieties used are 'Hezuo 88' and 'Lishu 6', which have a prolonged growth period. On the other hand, a number of issues have arisen as a result of the lack of specialized winter potato cultivars. The main varieties in winter in Yunnan Province are comparatively single and typically enter into the markets at the same time, causing an abundance of potatoes which results in low prices. Therefore, there is an urgent need for a systematic and comprehensive breeding system to select new varieties that not only have high yield and disease resistance, but also cater to the diverse preference of consumers in terms of texture and flavor. In order to explore a new and efficient winter potato breeding method, four consecutive winter evaluation experiments were conducted in Jianshui County, Yunnan Province, from 2016 to 2020, using 68 elite breeding lines selected through a summer experiment. Different film mulching treatments were applied to promote the varieties (lines) with late maturity to early maturity. Over the four years of winter experiments, five winter growing varieties were developed from 68 elite summer lines. These lines were named as 'Yunshu 114' (S13-592), 'Yunshu 115' (S12- 1528), 'Yunshu 116' (S12-1496), 'Yunshu 703' (S12-1998), and 'Yunshu 608' (S10-843). The average yield of these five varieties exceeded 45 000 kg/ha in four years, and promoting early maturity cultivation techniques increased two- year yield by 3 145 kg/ha, compared to open field cultivation. This study explores the breeding model of joint evaluation of summer and winter cultivation, and form the breeding system of winter cultivation potato. [ABSTRACT FROM AUTHOR]

Copyright of Xinjiang Agricultural Sciences is the property of Xinjiang Agricultural Sciences Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Breeding for low-hydrogen-cyanide (HCN) varieties is a major objective of programs targeting boiled cassava food products. To enhance the breeding of low-HCN varieties, knowledge of genetic variation and trait heritability is essential. In this study, 64 cassava clones were established across four locations and evaluated for HCN using three HCN assessment methods: one with a 1 to 9 scale, on with a 0 ppm to 800 ppm scale, and a quantitative assay based on spectrophotometer readings (HCN_Spec). Data were also collected on the weather variables precipitation, relative humidity, and temperature. Highly significant differences were observed among clones (p < 0.001) and locations (p < 0.001). There was also significant clone–environment interactions, varying from p < 0.05 to p < 0.001. Locations Arua and Serere showed higher HCN scores among clones and were associated with significantly higher (p < 0.001) mean daily temperatures (K) and lower relative humidity values (%) across 12 h and 18 h intervals. Within locations, HCN broad sense heritability estimates ranged from 0.22 to 0.64, while combined location heritability estimates ranged from 0.14 to 0.32. Relationships between the methods were positive and strong (r = 0.75–0.92). The 1 to 9 scale is more accurate and more reproducible than either the 0 to 800 ppm scale or spectrophotometric methods. It is expected that the information herein will accelerate efforts towards breeding for low-HCN cassava varieties.

Copyright of Acta Scientiarum Polonorum seria Zootechnica is the property of West Pomeranian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Plant growth rate is an essential phenotypic parameter for quantifying potential crop productivity. Under field conditions, manual measurement of plant growth rate is less accurate in most cases. Image-based high-throughput platforms offer great potential for rapid, non-destructive, and objective estimation of plant growth parameters. The aim of this study was to assess the potential for quantifying plant growth rate using UAV-based (unoccupied aerial vehicle) imagery collected multiple times throughout the growing season. In this study, six diverse lines of lentils were grown in three replicates of 1 m2 microplots with six biomass collection time-points throughout the growing season over five site-years. Aerial imagery was collected simultaneously with each manual measurement of the above-ground biomass time-point and was used to produce two-dimensional orthomosaics and three-dimensional point clouds. Non-linear logistic models were fit to multiple data collection points throughout the growing season. Overall, remotely detected vegetation area and crop volume were found to produce trends comparable to the accumulation of dry weight biomass throughout the growing season. The growth rate and G50 (days to 50% of maximum growth) parameters of the model effectively quantified lentil growth rate indicating significant potential for image-based tools to be used in plant breeding programs. Comparing image-based groundcover and vegetation volume estimates with manually measured above-ground biomass suggested strong correlations. Vegetation area measured from a UAV has utility in quantifying lentil biomass and is indicative of leaf area early in the growing season. For mid- to late-season biomass estimation, plot volume was determined to be a better estimator. Apart from traditional traits, the estimation and analysis of plant parameters not typically collected in traditional breeding programs are possible with image-based methods, and this can create new opportunities to improve breeding efficiency mainly by offering new phenotypes and affecting selection intensity. [ABSTRACT FROM AUTHOR]

[Display omitted] • NIR could be important for screening selected sensory traits in sweetpotato roots. • Machine learning techniques can improve NIR model accuracy. • Effective wavelengths selection and other spectral pretreatments are important in NIR-related modelling. It has been established that near infrared (NIR) spectroscopy has the potential of estimating sensory traits given the direct spectral responses that these properties have in the NIR region. In sweetpotato, sensory and texture traits are key for improving acceptability of the crop for food security and nutrition. Studies have statistically modelled the levels of NIR spectroscopy sensory characteristics using partial least squares (PLS) regression methods. To improve prediction accuracy, there are many advanced techniques, which could enhance modelling of fresh (wet and un-processed) samples or nonlinear dependence relationships. Performance of different quantitative prediction models for sensory traits developed using different machine learning methods were compared. Overall, results show that linear methods; linear support vector machine (L-SVM), principal component regression (PCR) and PLS exhibited higher mean R2 values than other statistical methods. For all the 27 sensory traits, calibration models using L-SVM and PCR has slightly higher overall R2 (x ¯ = 0.33) compared to PLS (x ¯ = 0.32) and radial-based SVM (NL-SVM; x ¯ = 0.30). The levels of orange color intensity were the best predicted by all the calibration models (R2 = 0.87 – 0.89). The elastic net linear regression (ENR) and tree-based methods; extreme gradient boost (XGBoost) and random forest (RF) performed worse than would be expected but could possibly be improved with increased sample size. Lower average R2 values were observed for calibration models of ENR (x ¯ = 0.26), XGBoost (x ¯ = 0.26) and RF (x ¯ = 0.22). The overall RMSE in calibration models was lower in PCR models (X = 0.82) compared to L-SVM (x ¯ = 0.86) and PLS (x ¯ = 0.90). ENR, XGBoost and RF also had higher RMSE (x ¯ = 0.90 – 0.92). Effective wavelengths selection using the interval partial least-squares regression (iPLS), improved the performance of the models but did not perform as good as the PLS. SNV pre-treatment was useful in improving model performance. [ABSTRACT FROM AUTHOR]

The integrated use of molecular marker-assisted selection (MAS) and anther culture has potential to significantly increase efficiency in plant breeding; however, reports on this kind of practical use are very limited. In the present study, we report the development of cytoplasmic male sterile (CMS) maintainers with aroma, disease resistance and red-brown hulls, as an example of integration of MAS and anther culture in rice breeding. A high-resolution melting (HRM)-based functional molecular marker was developed for the red-brown hull trait caused by a unique mutation (rbh1) in OsCAD2. Functional molecular markers for genes of rice blast resistance (Pi2), aroma (fgr) and red-brown hull (rbh1) were used for precise genotyping of individual plants in the BC1 and BC2F2 populations derived from a cross between CMS maintainers Huaxiang B (pi2–/rbh1–/fgr–) and Rong 3B (Pi2+/RBH1+/Fgr+). A total of 89 doubled haploid (DH) lines were generated from selected BC2F2 plants (Pi2+/rbh1–/fgr–) by anther culture. Seven DH lines were subsequently selected as the potential new CMS maintainers based on their overall performance and high resistance to blast. Our study demonstrated that integration of MAS and anther culture significantly accelerated the development of CMS maintainers with multiple stacked genes.

ABSTRACT The objective of this study was to determine factors affecting phenotypic characteristics related to milk production and reproductive efficiency of dairy buffalo. Phenotypic records of 2,459 Murrah, Mediterranean and crossbred buffaloes from the Embrapa Eastern Amazônia herd, from 1969 to 2013 were used. Traits included: total milk production during lactation (TMP), milk production corrected for 305 days (P305); cow weight at calving (CW), fat milk percentage (F), age at first calving (AFC), calving interval (CI), calf birth weight (BW), as well as lactation (LP) and service periods (SP). Most traits were affected by genetic group as well as year and season or interaction between them. Genetic group affected F, CI, SP and CW. Very young and older cows showed poorer production traits. There was interaction between season and year for F, CI and CW. Correlations traits were generally medium to low. The principal component analysis showed that higher fat milk percentage was associated with higher percentage of Murrah breed, longer lactation period and older cows. Phenotypic characteristics in buffaloes reared in the Brazilian Amazon were significantly affected by genetic and management factors. This information can be used to help build sustainable production systems for the region and guide farmer decisions.

The paper constructs an input-output index system and uses super efficiency SBM model to evaluate the efficiency of large-scale pig breeding in China. Using Tobit model, combined with the survey data of 29 provinces and cities in China from 2008 to 2020, the paper investigates the influencing factors of large-scale pig breeding efficiency. The results showed that the overall efficiency of large-scale pig breeding in China showed a fluctuating upward trend. The level of financial subsidies, the disposable income of rural residents and the investment in breeding technology all have a positive impact on the efficiency of large-scale pig breeding, among which the investment in breeding technology has the greatest positive impact, the level of financial subsidies takes the second place, and the disposable income of rural residents is the smallest. The level of human capital and the level of environmental governance capital investment have a significant negative impact on the efficiency of large-scale pig breeding, especially the level of human capital. The research conclusion can provide a reference for improving the income of farmers and the ability of large-scale pig breeding. [ABSTRACT FROM AUTHOR]

Plant growth rate is an essential phenotypic parameter for quantifying potential crop productivity. Under field conditions, manual measurement of plant growth rate is less accurate in most cases. Image-based high-throughput platforms offer great potential for rapid, non-destructive, and objective estimation of plant growth parameters. The aim of this study was to assess the potential for quantifying plant growth rate using UAV-based (unoccupied aerial vehicle) imagery collected multiple times throughout the growing season. In this study, six diverse lines of lentils were grown in three replicates of 1 m2 microplots with six biomass collection time-points throughout the growing season over five site-years. Aerial imagery was collected simultaneously with each manual measurement of the above-ground biomass time-point and was used to produce two-dimensional orthomosaics and three-dimensional point clouds. Non-linear logistic models were fit to multiple data collection points throughout the growing season. Overall, remotely detected vegetation area and crop volume were found to produce trends comparable to the accumulation of dry weight biomass throughout the growing season. The growth rate and G50 (days to 50% of maximum growth) parameters of the model effectively quantified lentil growth rate indicating significant potential for image-based tools to be used in plant breeding programs. Comparing image-based groundcover and vegetation volume estimates with manually measured above-ground biomass suggested strong correlations. Vegetation area measured from a UAV has utility in quantifying lentil biomass and is indicative of leaf area early in the growing season. For mid- to late-season biomass estimation, plot volume was determined to be a better estimator. Apart from traditional traits, the estimation and analysis of plant parameters not typically collected in traditional breeding programs are possible with image-based methods, and this can create new opportunities to improve breeding efficiency mainly by offering new phenotypes and affecting selection intensity.

Present study was conducted to investigate breeding efficiency (BE) in Murrah and Nili-Ravi buffaloes maintained at ICAR-CIRB Hisar and sub campus Nabha, Punjab, respectively. A total 5955 production and reproduction records of 679 Murrah and 501 Nili-Ravi from the year 1983 to 2017 were utilized to calculate BE using Wilcox and Tomar methods. The effects of various non-genetic factors like age at first calving, season of first calving, period of first calving and lactation completed on BE was studied. The results indicated that the overall leastsquare means for BE in Murrah and Nili-Ravi were estimated as 80.09 to 82.97% and 79.57 to 82.50% by Wilcox method while it was 76.62 to 78.12% and 76.04 to 77.73% by Tomar method, respectively. Both Wilcox as well as Tomar method indicated that the effect of season of first calving was highly significant on BE in Murrah and Nili- Ravi buffaloes with highest BE in rainy and lowest in winter season. A change in BE due to period of calving depends on the management practices followed during that particular period of time. Breeding efficiency linearly increased with the increase in number of lactations. Therefore, our efforts should be towards improvement in breeding efficiency that leads to better reproductive performance, thereby improve overall efficiency of the dairy farm.

New banana plantations of Turkey are mostly established with meristem culture-propagated plants because starting materials greatly influence yield and quality in these plantations. This study was conducted to select superior banana clones from Grand Nain, Dwarf Cavendish and Azman cultivars grown in open fields and greenhouses in Turkey. The study also aimed to determine selection efficiency breeding for stem height, number of hands, the number of fruits, bunch weight, fruit weight and fruit length. The selected genotypes exhibited a large variation in yield and related quantitative traits. The genotypes showing the highest yield and quality traits were selected. Although the traits used for selection contributed to selection efficiency, stem height had the greatest contribution. The superior banana clones were found to be stable and could reliably be used in establishment of new banana plantations to increase yield and quality in subtropical conditions in Mediterranean region in Turkey. [ABSTRACT FROM AUTHOR]

Low soil nitrogen (low-N) and stem borer attack are two of the major stresses limiting maize production in West and Central Africa (WCA). Thus, there is need to intensify efforts aimed at identifying inbred lines with resistance and tolerance to these stresses for hybrid development. The objectives of the study were to determine the combining ability of maize inbred lines, classify them into heterotic groups using both conventional and marker-based approaches, compare the efficiency of the different grouping methods and evaluate the performance of the hybrids generated from the inbred lines under contrasting environments. Ten white maize inbred lines with varying levels of resistance to stem borers were selected and crossed in a diallel in 2015. The resulting 45 hybrids were evaluated together with five checks in 10 environments under low-N, artificial stem borer infestation and non-stress conditions in Nigeria. General combining ability (GCA) and specific combining ability (SCA) were highly significant (p ≤ 0.01) for most of the traits studied but GCA was predominant over SCA under each and across research conditions. Inbred line 2 combined significant positive GCA for grain yield with significant negative GCA for traits of resistance to stem borers and tolerance to low-N. Each of the grouping methods classified the inbred lines into 3 heterotic groups but SCA and heterotic groups' specific and general combining ability had the joint highest breeding efficiency. Hybrids 1 × 4, 2 × 3, 1 × 6 and 2 × 5 were identified to be high yielding and stable across environments and can serve as candidates for further on-farm evaluations and eventual release in WCA. [ABSTRACT FROM AUTHOR]

Plant breeding for the generation of cultivars adapted to local conditions has been an important and strategic concern of developing countries with agriculture-based economies. Considering economic constraints, breeders must improve genetic gain to increase the delivery of better cultivars with lower costs, through the implementation of molecular breeding and rapid generation advance. The aim of this work is to assess the actual economic impact of the implementation of these technologies on genetic gain for yield, rice blast disease resistance, and grain amylose content in a conventional rice breeding program. This analysis is intended as a case study of public breeding programs in developing countries. To accomplish this objective, cost analyses and genetic gain estimations were performed for four rice breeding scenarios: conventional and marker-assisted selection, with and without rapid generation advance. These estimations were then used to develop a cost index reflecting the breeding efficiency. The most efficient method was found to depend on the objective trait considered. For yield, there are small variations in genetic gain, but in terms of costs, the application of technology increases the breeding efficiency. For rice blast resistance, marker-assisted selection is not an efficient option when not using rapid generation advance. Conversely, the efficiency of marker-assisted selection increases when using rapid generation advance. For grain amylose content, the greatest effect on genetic gain is obtained when using marker-assisted selection. Rapid generation advance always increases the breeding efficiency. The use of new technological tools is recommended in terms of the cost–benefit function. [ABSTRACT FROM AUTHOR]

Seed set in East African Highland Cooking bananas (EAHBs) is extremely low and therefore hampers breeding. Pollen–pistil interaction is a key contributing factor. We assessed the effect of pollen germination media (PGM) on seed set in EAHBs. Five EAHB cultivars were pollinated with pollen from the wild banana ‘Calcutta 4’. Glucose-based PGM sprayed on freshly emerged stigmas significantly increased seed set per 100 fruits per bunch. Increases were 73.5% in ‘Enzirabahima’, 39.9% in ‘Mshale’, and 302.4% in ‘Nshonowa’. However, PGM did not increase seed set in the female sterile ‘Mlelembo’ and ‘Nakitembe’. As larger bunches were more fertile, good field management practices are also recommended to get more seed to improve breeding efficiency.

Aim. The main goal was to assess the current state of herons in the Eastern sea of Azov in Krasnodar region.Methods. We have conducted collecting of material according to conventional ornithological methods of Saemann D. (1970), Kostin, Y. V. (1977), Klimova S. M. (1989), Brave V. M. (1991), and Bogolyubov A. S. (1996).Results. Spring arrivals in the eastern coast of the Azov Sea have been noted from February to April. Jacks suit in the thickets of reeds, rushes to the creases, some species of trees. The breeding season is extended, depending on the time of construction of the nest. Number of eggs per clutch varies from 1 to 5. The incubating of eggs lasts 21-27 days. The development of the chicks lasts 40-55 days. The effectiveness of nesting herons in the studied species in the lower reaches of the Kuban ranges from 78.6% to 83.5%. The basis of herons diet of fish of different species and sizes. Analysis of the castings showed the presence in them of Coleoptera fragments, lake frog, wool and the remnants of rodents.Main conclusions. Studied basic biological periods herons of Eastern Azov region. Established that the size of heron population at the area of interest varies year by year due to effect of anthropogenic and abiotic factors.

The success of a hybrid breeding program is dependent on available heterotic patterns for exploitation of grain-yield heterosis. The efficiency of the assignment of germplasm lines into heterotic groups is a prerequisite for obtaining useful heterotic patterns among germplasm lines. A total of 256 maize hybrids, comprising 244 top crosses, six diallel cross hybrids, and six checks, were grown under Striga infestation, drought, and optimal conditions, from 2015 to 2017. The study determined the combining abilities of the parental inbreds, classified the inbreds into heterotic groups, and compared the efficiencies of the following four grouping methods for classifying the inbreds: specific combining ability (SCA) effect of grain yield; general combining ability (GCA) effects of multiple traits (HGCAMT); SCA and GCA (HSGCA) for yield; and single nucleotide polymorphism-based genetic distance (SNP-based genetic distance (GD)). Significant GCA and/or SCA mean squares were revealed for most measured traits in all test environments. Sums of squares (SS) due to GCA were higher than SCA SS for measured traits in all test environments. The HSGCA, SCA, and SNP-based GD methods identified four heterotic groups, whereas the HGCAMT identified three groups, in all environments. The additive gene effect was preponderant in the inheritance of most measured traits. The efficiencies of the grouping methods varied with the test environments. The HSGCA and SCA methods were the most efficient for grouping in all test conditions. For practical breeding purposes, the HGCAMT and HSGCA methods were recommended under Striga infestation and drought, respectively. The heterotic patterns, which were revealed in this study, were effective for planning hybridization schemes for developing high-yielding, Striga-tolerant/resistant, and drought-tolerant maize hybrids for stressful environments.

The article discusses strategies for increasing Merino sheep reproduction using ewe culling and retention. Topics include the identification of ewes who have low net reproductive rates (NRR), the use of phenotypic selection in relation to genetic variation, and the culling of twice-dry ewes from flocks.

Agricultural scientists face the dual challenge of breeding input-responsive, widely adoptable and climate-resilient varieties of crop plants and developing such varieties at a faster pace. Integrating the gains of genomics with modern-day phenomics will lead to increased breeding efficiency which in turn offers great promise to develop such varieties rapidly. Plant phenotyping techniques have impressively evolved during the last two decades. The low-cost, automated and semi-automated methods for data acquisition, storage and analysis are now available which allow precise quantitative analysis of plant structure and function; and genetic dissection of complex traits. Appropriate plant types can now be quickly developed that respond favorably to low input and resource-limited environments and address the challenges of subsistence agriculture. The present review focuses on the need of systematic, rapid, minimal invasive and low-cost plant phenotyping. It also discusses its evolution to modern day high throughput phenotyping (HTP), traits amenable to HTP, integration of HTP with genomics and the scope of utilizing these tools for crop improvement.

Breeding and lactation efficiencies (BE and LE), parity-wise production profile, productive herd life and lifetime milk production (LTMP) of Gir cows (N=309), based on 1363 calvings during 1991 to 2010 at Cattle Breeding Farm, JAU, Junagadh were studied. Age at first calving (AFC) and calving interval (CI) of Gir cows were 1527.76±14.17 and 481.22±4.86 days, respectively. CI ranged from 386 to 505 days among different lactations. When AFC and CI were taken into account together, BE of the cows as per Tomar (BE-T) was estimated to be 86.91±0.49 %. About 17 % of Gir cows in the herd calved for the first time at <42 months of age (Av. 37.04 month) and 38 % of the cows had less than 14 months of CI. Lactation period (LP) of Gir cows varied significantly (P<0.05) from 230 days to 335 days showing an increasing trend with increase in no. of parity. Overall LP of Gir cows was 281.02±4.56 days, LE being 61.07±1.10%. Total lactation milk yield (TLMY) and standard lactation milk yield (SLMY) of Gir cows averaged 2006.29±48.77 and 1819.73±45.44 lit, respectively. Milk yield increased significantly (P<0.05), with increase in no. of parity, reaching peak TLMY (2425 lit) and SLMY (2303 lit) in 5th lactation. TLMY was 2134 to 2362 lit, and SLMY 1950 to 2110 lit in 6th to 8th lactation. Productive herd life averaged 3107.87±81.40 days (8.51 years). Mean number of calvings during lifetime was 4.25±0.15. A total of 19- 25 % of the total cows performed in the herd for more than 12 years, (average being 14.6 years) and for > 6 lactations. Gir cows produced 9988.71±649.08 lit LTMP. LTMP of Gir cows was significantly associated with both, the BE and LE (r =0.23 to 0.25). MSLMY showed significant (P<0.05) correlation (r=0.31 to 0.37) with BE-W and LE. Association of AFC was significant with BE-T (r=0.26). The 1st and 2nd CI showed a correlation (r= 0.57 to 0.59, P<0.01) of high magnitude with BE-W. The findings revealed that Gir cows in the herd are worth- retaining in the herd till 8th lactation with satisfactory breeding efficiency of about 87 % for economically viable sustainable dairy farming. [ABSTRACT FROM AUTHOR]

Van cats are animals that often become the centre of attention due to their white hair, colourful eyes, and affectionate attitudes. However, it is nearly impossible to find research studies on the reproductive behaviours of Van cats. We conducted this study with the purpose of revealing the breeding efficiency properties and survival rates of Van cats. The study materials consisted of Van cats in the Van Cat Home of Yüzüncü Yil University's Van Cats Research Center. We determined the breeding efficiency properties using records obtained from 56 female cats over the course of four years. As a result of the study, we determined that the durations of oestrus, pregnancy, and lactation in Van cats were, respectively, 2.41±0.09, 63.75±0.27, and 98.45±1.18 days. We also determined the average number of kittens per delivery and the mating per pregnancy as, respectively, 3.30±0.19 and 13.71±0.74. In this study, we recorded the presence of 56 delivering cats, with a total of 185 kittens, 22 of which were dead (11.89%), and an 88.11% survival rate (%). The most common delivery type was twin deliveries (30%), and the highest rate of stillbirths was 4.86% in quadruplet deliveries. [ABSTRACT FROM AUTHOR]

The article provides progress report on the barley of F3к-10029/Saratovske 4 height decreasing throughout 1974 to 2012 by way of selecting plants of the shortest stem. 38 years of selecting the shortest stem genotypes cut down plant height by 5,7 times at the background of dominant Hl gene expression. Average plant height during 38 breeding cycles was descending by 2,69 cm, but this was not an even trend. New creative donor for ultimate short stem characteristic, Gnome 3, has been developed, with Hl-3Hl-3alleles designation. Relative impact on the efficacy of minus-selection by the plant height of the selection differential (38,00%) and inheritance coefficient in its narrow sense (14,56%) is established. Efficiency of the selection is realized with the decrease of winter rye height plants by 72,08% as expected by the relative breeding forecast. Analyzes is completed for 11 genetic and statistical clusters of average utilitarian characteristics of Gnome 3 ultra short stem rye over the period from 1974 to 2012.

Cloprostenol is a synthetic prostaglandin F analogue. It is a FP (Prostaglandin F) receptor agonist, which shows 2á powerful luteolytic effects. It also stimulates the contraction of uterine and bronchial smooth muscle and produces vasoconstriction in some vessels. Anoestrous may be due to some conditions like abnormal pregnancy, early pregnancy, pyometra, endometritis, retention of placenta, maceration and mummification. So, get rid of this conditions cloprostenol is widely used. It has been now in vogue to administer PGF or its analogue in early 2á postpartum cows and buffaloes in order to hasten early resumption of cyclic ovarian activity and thereby to increase the reproductive efficiency. To improve reproductive efficiency, it is necessary to inseminate cows early in the breeding season so that, thereby achieving a more compact calving season. Breeding efficiency is increased by means of synchronization of estrus, conception rate and pregnancy rate. Estrus synchronization can be achieved by lysis of corpus luteum by administration of prostaglandin (PGF ) or its synthetic analogue on 5-17 2á days of the estrus cycle. The cows will return to estrus within 3-5 days. The effective therapeutic doses for cloprostenol are 500 μg in cattle and 175 μg in pigs. However, for R-cloprostenol, the recommended doses are: 150 μg in cattle and 75 μg in pigs. In both cases, it is administered by the intramuscular route. [Vet. World 2012; 5(6.000): 378-384]

Controlled pollination in root and tuber crops is challenging. Complex ploidy, cross-incompatibility, erratic flowering patterns, outcrossing, etc., limit the efficiency of breeding progress in these crops. Half-sib breeding that involves random pollination among parents is a viable method to harness genetic gain in outcrossing crops that are problematic for performing planned and controlled pollination. The authenticity of resulting progenies from the half-sib breeding is essential to monitor the selection gain in the breeding program. Parentage analysis facilitated by molecular markers is among the available handy tools for crop breeders to maximize genetic gain in a breeding program. It can help to resolve the identity of half-sib progenies and reconstruct the pedigree in the outcrossing crops. This paper reviews the potential benefits of parentage analysis in breeding selected outcrossing root and tuber crops. It assesses how paternity analysis facilitates breeding activities and the ways it improves genetic gain in the root and tuber breeding programs. Conscious use of complementary techniques in the root and tuber breeding programs can increase the selection gain by reducing the long breeding cycle and cost, as well as reliable exploitation of the heritable variation in the desired direction.

Advances in phenotyping technology are critical to ensure the genetic improvement of crops meet future global demands for food and fuel. Field-based phenotyping platforms are being evaluated for their ability to deliver the necessary throughput for large scale experiments and to provide an accurate depiction of trait performance in real-world environments. We developed a dual-camera high throughput phenotyping (HTP) platform on an unmanned aerial vehicle (UAV) and collected time course multispectral images for large scale soybean [ Glycine max (L.) Merr.] breeding trials. We used a supervised machine learning model (Random Forest) to measure crop geometric features and obtained high correlations with final yield in breeding populations ( r = 0.82). The traditional yield estimation model was significantly improved by incorporating plot row length as covariate ( p < 0.01). We developed a binary prediction model from time-course multispectral HTP image data and achieved over 93% accuracy in classifying soybean maturity. This prediction model was validated in an independent breeding trial with a different plot type. These results show that multispectral data collected from the UAV-based HTP platform could improve yield estimation accuracy and maturity recording efficiency in a modern soybean breeding program. [ABSTRACT FROM AUTHOR]

A total of 1474 and 1935 production and reproduction records of crossbred cattle and Murrah buffaloes from the year 1992 to 2012 were utilized in the present study to investigate breeding efficiency (BE) and various performance traits. Breeding efficiency was calculated using Wilcox and Tomar methods and Least-squares of Harvey model was used to study the effects of various non-genetic factors (period, season) on breeding efficiency. Average breeding efficiency of Crossbred cattle was 82.31 ± 0.97% ranging from 75% to 85% by Wilcox method and 98.14 ± 1.09% ranging from 95% to 99% by Tomar method. Average breeding efficiency of buffaloes was 78.03 ± 1.01% ranging from 69% to 84% by Wilcox method and 78.39 ± 0.39% ranging from 74% to 80% by Tomar method under the management conditions. Breeding efficiency correlated positively with weight at calving, milk yield 305 days and milk yield complete in Crossbred cattle and Murrah buffaloes by both methods. The effect of period was significant(<0.01) on the breeding efficiency by Wilcox method and non-significant by Tomar method in Crossbred cattle. The effect of season was non-significant on breeding efficiency by both methods in crossbred cattle. In Murrah buffaloes the effect of period was significant(<0.01) on the breeding efficiency by both methods while the effect season was significant(<0.05) on breeding efficiency by Tomar method and non significant by Wilcox method. Therefore it is imperative to emphasis improvement in the husbandry practices and the introduction of genetic evaluation programmes at the same time. [ABSTRACT FROM AUTHOR]

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Abstract: Charge breeding of singly charged ions is required to efficiently accelerate rare isotope ion beams for nuclear and astrophysics experiments, and to enhance the accuracy of low-energy Penning trap-assisted spectroscopy. An efficient charge breeder for the Californium Rare Isotope Breeder Upgrade (CARIBU) to the ANL Tandem Linear Accelerator System (ATLAS) facility is being developed using the BNL Test Electron Beam Ion Source (Test EBIS) as a prototype. Parameters of the CARIBU EBIS charge breeder are similar to those of the BNL Test EBIS except the electron beam current will be adjustable in the range from 1 to 2A. The electron beam current density in the CARIBU EBIS trap will be significantly higher than in existing operational charge state breeders based on the EBIS concept. The charge state breeding efficiency is expected to be about 25% for the isotope ions extracted from the CARIBU. For the success of our EBIS project, it is essential to demonstrate high breeding efficiency at the BNL Test EBIS tuned to the regime close to the parameters of the CARIBU EBIS at ANL. The breeding efficiency optimization and measurements have been successfully carried out using a Cs+ surface ionization ion source for externally pulsed injection into the BNL Test EBIS. A Cs+ ion beam with a total number of ions of 5×108 and optimized pulse length of 70μs has been injected into the Test EBIS and charge-bred for 5.3ms for two different electron beam currents – 1 and 1.5A. In these experiments we have achieved 70% injection/extraction efficiency and breeding efficiency into the most abundant charge state ∼17%. [Copyright &y& Elsevier]

Waxflower is one of Australia's major native cut flowers for the export market. A number of interspecific hybrid cultivars such as the 'Pearl' series bred by the Department of Agriculture and Food, Western Australia have increased the competitiveness of waxflower on world markets. To improve the breeding efficiency, resistance gene analog polymorphisms (RGAP) are investigated as molecular markers for the early identification of interspecific hybrids between Chamelaucium uncinatum and C. megalopetalum. The results show that RGAP can be effectively applied to generate DNA markers to identify true waxflower hybrids. The RGAP marker system provides a reliable, simple, fast and inexpensive approach for hybrid identification in waxflower breeding. [ABSTRACT FROM AUTHOR]

Pearl millet ( Pennisetum glaucum (L.) R. Br.) hybrids, grown widely in India and to some extent in the US, are all based on an A1 CMS source, leaving the pearl millet hybrids vulnerable to potential disease or insect pest epidemics. A comparison of this CMS system with two additional CMS systems (A4 and A5) in the present study based on isonuclear A-lines (seed parents) and their isonuclear hybrids showed that A-lines with the A4 cytoplasm had much fewer pollen shedders and much reduced selfed seed set in visually assessed non-shedding plants as compared to those with the A1 cytoplasm. A-lines with the A5 cytoplasm had neither any pollen shedders nor did they set any seed when selfed. This showed that the A5 CMS system imparts complete and most stable male sterility, followed by the A4 and A1 CMS systems. The frequency of maintainers, averaged across a diverse range of 26 populations, was highest for the A5 CMS system (98%), followed by the A4 (59%) and the A1 (34%) system indicating the greatest prospects for genetic diversification of A-lines lies with the A5 cytoplasm, and the least with the A1 cytoplasm. Mean grain yield of hybrids with the A1 cytoplasm was 5% more than the A4-system hybrids, while there was no difference between the mean grain yield of hybrids based on A1 and A5 CMS systems. Based on these results, it is suggested that seed parents breeding efficiency will be the greatest with the A5 CMS system, followed by the A4 CMS system, and least with the currently commercial A1 CMS system. [ABSTRACT FROM AUTHOR]

Data were evaluated from a purebred Holstein herd ( n = 1274) kept near Khartoum, a hot and dry area, from 1990 to 1996. The mixed model procedure in SAS was used to analyse the reproductive traits. The mean gestation length, days dry, number of services per conception, days from calving to first oestrus, days from calving to conception, calving interval and breeding efficiency were 279 days, 104 days, 4.2, 85.8 days, 208.9 days, 486.2 days and 74.9%, respectively. Factors that had significant effects ( p<0.01) on all the reproductive measures under study were the year and month of calving, and parity. The heritability estimates for all traits under investigation were zero. The repeatability estimates for the numbers of services per conception, days from calving to conception, days from calving to first oestrus and calving interval were 0.21±0.021, 0.12±0.024, 0.03±0.018 and 0.00, respectively. The phenotypic correlation for calving interval with numbers of service per conception was 0.05, that with days from calving to first oestrus was 0.06 and that with days from calving to conception was 0.07. Other correlations ranged from 0.00 to 0.28. The simple correlation coefficients between production and reproductive measures ranged from –0.06 to 0.45. [ABSTRACT FROM AUTHOR]

Biodiversity in general, and agrobiodiversity in particular are crucial for adaptation to climate change, for resilience and for human health as related to dietary diversity. Participatory plant breeding (PPB) has been promoted for its advantages to increase selection efficiency, variety adoption and farmers' empowerment, and for being more socially equitable and gender responsive than conventional plant breeding. In this review paper we concentrate on one specific benefit of PPB, namely, increasing agrobiodiversity by describing how the combination of decentralized selection with the collaboration of farmers is able to address the diversity of agronomic environments, which is likely to increase because of the location specificity of climate change. Therefore, while PPB has been particularly suited to organic agriculture, in light of the increasing importance of climate change, it should also be considered as a breeding opportunity for conventional agriculture. [ABSTRACT FROM AUTHOR]

Seed set in East African Highland Cooking bananas (EAHBs) is extremely low and therefore hampers breeding. Pollen–pistil interaction is a key contributing factor. We assessed the effect of pollen germination media (PGM) on seed set in EAHBs. Five EAHB cultivars were pollinated with pollen from the wild banana 'Calcutta 4'. Glucose-based PGM sprayed on freshly emerged stigmas significantly increased seed set per 100 fruits per bunch. Increases were 73.5% in 'Enzirabahima', 39.9% in 'Mshale', and 302.4% in 'Nshonowa'. However, PGM did not increase seed set in the female sterile 'Mlelembo' and 'Nakitembe'. As larger bunches were more fertile, good field management practices are also recommended to get more seed to improve breeding efficiency. [ABSTRACT FROM AUTHOR]

Effects of period and season of first calving, sire and inbreeding on breeding efficiency by Wilcox (BEW) and Tomar (BET) methods were studied on 188 Gir cows maintained at the Kasturba Gandhi National Memorial Trust Dairy farm, Kasturbagram, Indore (M.P.). The least squares means of BEW and BET were found to be 79.29±1.10 and 67.12±0.85 per cent, respectively. Significant effect of sire (P<0.05) and inbreeding (P<0.01) were found on both the breeding efficiencies while period and season had non-significant effect. Inbred cows had significantly lower breeding efficiency in comparison to non-inbred cows. From the observations it could be concluded that inbreeding had deteriorating effect on breeding efficiency. [ABSTRACT FROM AUTHOR]