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Background Physical seed dormancy is an important trait in legume domestication. Although seed dormancy is beneficial in wild ecosystems, it is generally considered to be an undesirable trait in crops due to reduction in yield and / or quality. The physiological mechanism and underlying genetic factor(s) of seed dormancy is largely unknown in several legume species. Here we employed an integrative approach to understand the mechanisms controlling physical seed dormancy in common bean (Phaseolus vulgaris L.). Results Using an innovative CT scan imaging system, we were able to track water movements inside the seed coat. We found that water uptake initiates from the bean seed lens. Using a scanning electron microscopy (SEM) we further identified several micro-cracks on the lens surface of non-dormant bean genotypes. Bulked segregant analysis (BSA) was conducted on a bi-parental RIL (recombinant inbred line) population, segregating for seed dormancy. This analysis revealed that the seed water uptake is associated with a single major QTL on Pv03. The QTL region was fine-mapped to a 118 Kb interval possessing 11 genes. Coding sequence analysis of candidate genes revealed a 5-bp insertion in an ortholog of pectin acetylesterase 8 that causes a frame shift, loss-of-function mutation in non-dormant genotype. Gene expression analysis of the candidate genes in the seed coat of contrasting genotypes indicated 21-fold lower expression of pectin acetylesterase 8 in non-dormant genotype. An analysis of mutational polymorphism was conducted among wild and domesticated beans. Although all the wild beans possessed the functional allele of pectin acetylesterase 8, the majority (77%) of domesticated beans had the non-functional allele suggesting that this variant was under strong selection pressure through domestication. Conclusions In this study, we identified the physiological mechanism of physical seed dormancy and have identified a candidate allele causing variation in this trait. Our findings suggest that a 5-bp insertion in an ortholog of pectin acetylesterase 8 is likely a major causative mutation underlying the loss of seed dormancy during domestication. Although the results of current study provide strong evidences for the role of pectin acetylesterase 8 in seed dormancy, further confirmations seem necessary by employing transgenic approaches.

The classic

The pinto bean is one of widely consumed legume crop that constitutes over 42% of the U.S dry bean production. However, limited studies have been conducted in past to assess its quantitative and qualitative yield potentials. Emerging remote sensing technologies can help in such assessment. Therefore, this study evaluates the role of ground-based multispectral imagery derived vegetation indices (VIs) for irrigated the pinto bean stress and yield assessments. Studied were eight cultivars of the pinto bean grown under conventional and strip tillage treatments and irrigated at 52% and 100% of required evapotranspiration. Imagery data was acquired using a five-band multispectral imager at early, mid and late growth stages. Commonly used 25 broadband VIs were derived to capture crop stress traits and yield potential. Principal component analysis and Spearman’s rank correlation tests were conducted to identify key VIs and their correlation (rs) with abiotic stress at each growth stage. Transformed difference vegetation index, nonlinear vegetation index (NLI), modified NLI and infrared percentage vegetation index (IPVI) were consistent in accounting the stress response and crop yield at all growth stages (rs > 0.60, coefficient of determination (R2): 0.50–0.56, P

In common bean (Phaseolus vulgaris L.), seed storage protein deficiency is associated with increased total cysteine and methionine concentration. The goal of this study was to generate germplasm lines that combine this characteristic with adaptation to short season conditions in Manitoba, Canada. A recombinant inbred line population was developed by crossing the storage protein deficient genotype, SMARC1N‐PN1 with the cultivar Morden003. Two lines, 2‐37 and 3‐84, with a stable protein profile over 2 years at two locations were identified. Like SMARC1N‐PN1, both lines had a significantly higher cysteine concentration than Morden003, by approximately 35%. Methionine levels were elevated by approximately 15%, while tryptophan levels were also increased by approximately 30%. Line 2‐37 had a significant increase in protein quality, as measured by in vitro protein digestibility corrected amino acid score, by approximately 40%, as compared with Morden003. The increased protein quality for this line is attributable to higher levels of total cysteine and methionine, while having an overall reduction in crude protein concentration. Line 2‐37 had a similar seed yield as SMARC1N‐PN1, with a maturity comparable to Morden003. The results of high‐density single nucleotide polymorphism (SNP) genotyping and quantitative trait locus analysis of recombinant inbred lines indicated that variation in cysteine concentration was determined by the phaseolin locus, while variation in methionine concentration was determined by both the phaseolin and lectin loci. SNP markers that track the introgression of phaseolin and lectin deficiency into the Morden003 background were identified and validated.

Bean common mosaic necrosis virus (BCMNV) is a major disease in common bean (Phaseolus vulgaris L.). Host plant resistance is the primary disease control. We sought to identify candidate genes to better understand the host-pathogen interaction and develop tools for marker-assisted selection (MAS). A genome-wide association study (GWAS) approach using 182 lines from a race Durango Diversity Panel (DDP) challenged by BCMNV isolates NL-8 [Pathogroup (PG)-III] and NL-3 (PG-VI), and genotyped with 1.26 million single-nucleotide polymorphisms (SNPs), revealed significant peak regions on chromosomes Pv03 and Pv05, which correspond to bc-1 and bc-u resistance gene loci, respectively. Three candidate genes were identified for NL-3 and NL-8 resistance. Side-by-side receptor-like protein kinases (RLKs), Phvul.003G038700 and Phvul.003G038800 were candidate genes for bc-1. These RLKs were orthologous to linked RLKs associated with virus resistance in soybean (Glycine max). A basic Leucine Zipper (bZIP) transcription factor protein is the candidate gene for bc-u. bZIP protein gene Phvul.005G124100 carries a unique non-synonymous mutation at codon 14 in the first exon (Pv05: 36,114,516 bases), resulting in a premature termination codon that causes a nonfunctional protein. SNP markers for bc-1 and bc-u and new markers for I and bc-3 genes were used to genotype the resistance genes underpinning BCMNV phenotypes in the DDP, host group (HG) differentials, and segregating F3 families. Results revealed major adjustments to the current host-pathogen interaction model: (i) there is only one resistance allele bc-1 for the Bc-1 locus, and differential expression of the allele is based on presence vs. absence of bc-u; (ii) bc-1 exhibits dominance and incomplete dominance; (iii) bc-1 alone confers resistance to NL-8; (iv) bc-u was absent from HGs 2, 4, 5, and 7 necessitating a new gene symbol bc-ud to reflect this change; (v) bc-ud alone delays susceptible symptoms, and when combined with bc-1 enhanced resistance to NL-3; and (vi) bc-ud is on Pv05, not Pv03 as previously thought. These candidate genes, markers, and adjustments to the host-pathogen interaction will facilitate breeding for resistance to BCMNV and related Bean common mosaic virus (BCMV) in common bean.

Carioca is the most important edible dry bean (Phaseolus vulgaris L.) grown in Brazil. It represents the largest dry bean market class in the world. The seed coat of carioca beans will darken under adverse harvest conditions and with the increasing of storage time. In general, darkened seeds are associated with older seeds that suffer from prolonged cooking times. A relatively new 'slow darkening' trait is available in carioca that delays seed coat darkening under storage. However, its effect on cooking time is unknown. The objective of this work was to evaluate two induction methods of seed coat darkening and to examine the effect of slow darkening trait on cooking time after storage. Lines derived from four segregating populations resulting from crossings between cultivar BRSMG Madrepérola with slow seed coat darkening, and the parents BRS Estilo, BRS Cometa, BRS Notável and BRS Sublime with normal darkening were evaluated. An experiment inlcuding 220 lines, 55 per population and the five parents, in a 15x15 triple lattice was conducted in the winter growing season in Brasilia. Seed coat darkening and cooking time traits were evaluated. Two methods for inducing seed coat darkening were compared: an accelerated aging test using UV light for 72 hours, and an extended storage for 90 days under ambient conditions. The correlation between the induction methods ranged from 0.77 to 0.85 for the different populations indicating either method could be used to discriminate lines with normal versus slow darkening trait. The percentage of light-colored grain lines was identified by both induction methods of seed coat darkening ranged from 75 to 85.7% in the populations. The genetic correlation between seed coat darkening and cooking time varied from -0.06 to -0.48, indicating that in some populations there is no significant genetic correlation between seed coat darkening and cooking time. Thus, light colored grains are not indicative of low cooking time, when they are considered genotypes with genetic variation for the seed coat darkening. Made available in DSpace on 2020-02-12T18:11:11Z (GMT). No. of bitstreams: 1 CNPAF2020ajcs.pdf: 824973 bytes, checksum: 81944f3c39650313d59267258a3ed0cb (MD5) Previous issue date: 2020

Identifying the molecular basis of resistance to pathogens is critical to promote a chemical-free cropping system. In plants, nucleotide-binding leucine-rich repeat constitute the largest family of disease resistance (R) genes, but this resistance can be rapidly overcome by the pathogen, prompting research into alternative sources of resistance. Anthracnose, caused by the fungus Colletotrichum lindemuthianum, is one of the most important diseases of common bean. This study aimed to identify the molecular basis of Co-x, an anthracnose R gene conferring total resistance to the extremely virulent C. lindemuthianum strain 100. To that end, we sequenced the Co-x 58 kb target region in the resistant JaloEEP558 (Co-x) common bean and identified KTR2/3, an additional gene encoding a truncated and chimeric CRINKLY4 kinase, located within a CRINKLY4 kinase cluster. The presence of KTR2/3 is strictly correlated with resistance to strain 100 in a diversity panel of common beans. Furthermore, KTR2/3 expression is up-regulated 24 hours post-inoculation and its transient expression in a susceptible genotype increases resistance to strain 100. Our results provide evidence that Co-x encodes a truncated and chimeric CRINKLY4 kinase probably resulting from an unequal recombination event that occurred recently in the Andean domesticated gene pool. This atypical R gene may act as a decoy involved in indirect recognition of a fungal effector.

Drought stress is a major factor limiting yield of dry bean (Phaseolus vulgaris) and drought tolerant cultivars are being developed. Reducing tillage in row crops has advantages of conserving moisture and increasing water infiltration, and may alter the response of dry bean cultivars to drought stress. The goal of this study was to evaluate the response of eight pinto bean cultivars to deficit irrigation when grown under conventional (CT) vs strip tillage (ST). Drought was imposed to one half of the plots approximately 30 days after emergence by reducing irrigation by 48% [deficit irrigation (DI)] compared to full replacement of estimated evapotranspiration (FI = full irrigation). DI reduced bean seed yields 48 and 46% in 2015 and 2016, respectively. Dry bean cultivars varied in their response to drought stress by year. ST improved bean stands both years and moderated the decline in soil water, particularly in the upper 0–15 cm of the soil profile under DI when compared to CT. Mid-season shoot length, top biomass, leaf area index, and canopy cover were generally greater, and light transmittance through the plant canopy lower in ST compared to CT. ST increased bean seed yield 9% in one of two years over CT. ST improvements in crop stand, shoot and canopy development, and seed yield were consistent across irrigation levels and cultivars. Pinto bean growth and yield responses to ST were generally either favorable or neutral when compared to CT suggesting that implementing ST could benefit dry bean performance under both favorable and limited water conditions.

Common bean (Phaseolus vulgaris L.) is an important legume in the tropics, with production limited by low availability of soil phosphorus (P). An experiment was conducted in the glasshouse to evaluate P use efficiency of eight dry bean genotypes (G122, Montcalm, Taylor Horticulture, Cardinal, Bukoba, Kijivu, Rojo and CAL 143) of Andean origin. The treatments included: no P (0 kg P ha-1), normal P (50 kg P ha-1), and high P (100 kg P ha-1). There was variation for the measured traits shoot biomass (g), shoot P (mg kg-1), root P (mg kg-1), seed P (mg kg-1) and seed yield (g) among genotypes and P treatments. Biomass and all P concentrations increased with increasing P level and the genotypes Kijivu, Bukoba, Montcalm and Taylor Horticulture had higher P concentrations than Rojo, G122, Cardinal and CAL 143 across treatments. Genotype × treatment interactions were observed for shoot biomass. For the no P treatment, shoot and root biomass were positively correlated with PUE (phosphorus use efficiency). PUE had higher values and varied more among genotypes in the no P treatment compared to the normal P and high P treatments. The results suggest that seed yield in dry bean can be improved by selecting for genotypes with higher PUE under limiting P. The genotypes Bukoba, Kijivu and Montcalm with the highest values for PUE under no P treatment may be exhibiting some level of tolerance to low soil phosphorus. Higher shoot weight may provide simple criteria for selecting genotypes with greater yield and PUE (phosphorus use efficiency) under limiting P conditions. Therefore, a genotype is desired that can efficiently uptake and utilize available P under limited availability of this nutrient.

Site-specific crop management is a promising approach to maximize crop yield with optimal use of rapidly depleting natural resources. Availability of high resolution crop data at critical growth stages is a key for real-time data-driven decisions during the production season. The goal of this study was to evaluate the possibility of using small unmanned aerial system (UAS)-based remote sensing technologies to monitor the crop stress of irrigated pinto beans (Phaseolus vulgaris L.) with varied irrigation and tillage treatments. A small UAS with onboard multispectral and infrared thermal imaging sensors was used to collect data from bean field plots on three growth stages in 2015 and 2016, respectively. Indicators including green normalized vegetation index (GNDVI), canopy cover (CC, ratio of ground covered by crop canopy to the total plot area) and canopy temperature (CT, °C) of crops were extracted from imaging data and correlated with ground-reference crop yield and leaf area index (LAI) estimated with a handheld ceptometer. Results show that GNDVI, CC and CT were able to differentiate crops with full and deficit irrigation treatments at each of the three growth stages in both years. Developed indicators were strongly correlated with to the crop yield with Pearson correlation coefficients (r) of approximate 0.71 and 0.72 for GNDVI and CC, respectively, in the early growth stage (54 days after planting) in both years. Canopy temperature showed even stronger correlation (r > 0.8) with yield at early growth stage. Performance of small UAS-based imagery-based indicators in crop stress monitoring and crop yield estimation was better than or comparable to that of the ground-based LAI estimates, indicating the potential of such remote sensing tool in rapid crop stress monitoring and management.

Background White mold (WM) is a major disease in common bean ( Phaseolus vulgaris L.), and its complex quantitative genetic control has limited the development of WM resistant cultivars. WM2.2 is one of the nine meta-QTL that has a major effect on WM tolerance. This QTL explains up to 35% of the phenotypic variation and was previously mapped to a large interval on Pv02. Our objective was to narrow the interval of this QTL using QTL-based bulk segregant analysis.Results The phenotypic and genotypic data from two RIL populations (R31 and Z0726-9), which possess different genetic backgrounds for white mold resistance, were used to select resistant and susceptible lines to generate subpopulations for bulk DNA sequencing, and reads were aligned against the sequence of the resistance parent. The QTL physical intervals for each RIL population were mapped by fixed SNPs in 10kb-2kb sliding windows. WM2.2 QTL was split into two regions WM2.2a (3.54-4.56 Mbp; euchromatic) and WM 2.2b (12.19 to 26.41 Mbp; heterochromatic) in populations R31 and Z0726-9, respectively. For each QTL interval, the possible functional contribution of significant non-synonymous and synonymous polymorphisms was investigated. Gene models encoding for pentatricopeptide repeat, gibberellin 2-oxidase, and heat-shock proteins are the likely candidate genes associated with WM2.2a resistance. A TIR-NBS-LRR class of disease resistance protein and a EF-TU receptor are potential candidate genes associated with WM2.2b resistance and most likely trigger a physiological resistance response to WM.Conclusion QTL-based pooled sequencing analysis revealed that the large genomic region associated with WM2.2 meta QTL consists of two major QTL each associated with a different WM resistance function. WM2.2a region is most likely associated with avoidance mechanisms while WM2.2b region triggers physiological resistance.

Multi-environment trials (METs) are widely used to assess the performance of promising crop germplasm. Though seldom designed to elucidate genetic mechanisms, MET datasets are often much larger than could be duplicated for genetic research and, given proper interpretation, may offer valuable insights into the genetics of adaptation across time and space. The Cooperative Dry Bean Nursery (CDBN) is a MET for common bean (Phaseolus vulgaris) grown for over 70 years in the United States and Canada, consisting of 20 to 50 entries each year at 10 to 20 locations. The CBDN provides a rich source of phenotypic data across entries, years, and locations that is amenable to genetic analysis. To study stable genetic effects segregating in this MET, we conducted genome-wide association (GWAS) using best linear unbiased predictions (BLUPs) derived across years and locations for 21 CDBN phenotypes and genotypic data (1.2M SNPs) for 327 CDBN genotypes. The value of this approach was confirmed by the discovery of three candidate genes and genomic regions previously identified in balanced GWAS. Multivariate adaptive shrinkage (mash) analysis, which increased our power to detect significant correlated effects, found significant effects for all phenotypes. The first use of mash on an agricultural dataset discovered two genomic regions with pleiotropic effects on multiple phenotypes, likely selected on in pursuit of a crop ideotype. Overall, our results demonstrate that by applying multiple statistical genomic approaches on data mined from MET phenotypic data sets, significant genetic effects that define genomic regions associated with crop improvement can be discovered.

Slow darkening (SD) is a trait that helps to maintain a brighter seed coat appearance in certain market classes of dry beans. The aim of this study was to generate new fluorescence-based markers and validate previously identified microsatellite markers for linkage to the SD trait in lines of the carioca market class. Four segregating populations were generated by Embrapa, the Brazilian Agricultural Research Corporation, from crosses between the SD cultivar BRSMG Madreperola and the regular-darkening cultivars BRS Estilo, BRS Cometa, BRS Notavel and BRS Sublime. These populations were screened with the simple-sequence markers Pvsd-1158 and PVM02TC116 and with a TaqMan™ marker designed for the single-nucleotide polymorphism (SNP) PvbHLHp12804. A KASP marker was also designed for the PvbHLHp12804 marker for testing on advanced carioca lines developed by the University of Saskatchewan. In the carioca lines developed by Embrapa, PVM02TC116 proved unsuitable for marker-assisted selection (MAS). Both the Pvsd-1158 and PvbHLHp12804 markers were found to be tightly linked to the gene responsible for the SD trait, with genetic distances calculated at 2.8 cM for Pvsd-1158 and 2.0 and 3.1 cM for PvbbHLHp12804, respectively. These markers presented more than 97% of selection efficiency. The genotypic scoring using the PvbHLHp12804 KASP marker was perfectly correlated with the phenotype in all lines of the University of Saskatchewan. The results of this study validates the use of Pvsd-1158 as a gel-based marker for SD in carioca beans. The new fluorescence-based SNP PvbHLHp12804 markers exhibited very tight linkage to SD in carioca and pinto bean lines. These markers will be ideal for MAS for the SD trait in these market classes.

Abiotic stress tolerance in dry bean (Phaseolus vulgaris L.) is complex. Increased population sizes are contributing to finding QTL condition - ing stress response but phenotyping has not kept pace with high throughput genotyping for such studies. Our objectives were to deter- mine effectiveness of 20 most tolerant and 20 most susceptible lines representing phenotypic extremes from a RIL population ('Buster' ´ 'Roza' (BR)) to facilitate examination of 19 traits for relevance to stress response and to vali- date existing QTL conditioning stress response. Using phenotypic extremes tested across multi- ple trials, eight of the 19 traits were clearly asso- ciated with drought stress. Pod wall ratio (PW), plant biomass by weight or a visual rating, and greenness index (NDVI) were most associated with seed yield (SY) under stress followed by phenology traits. The phenotypic extreme lines were also useful for validating QTL previously identified in the whole RIL population condi - tioning SY, seed weight (SW) and days to flower (DF), harvest maturity (HM), and seed fill (DSF). New QTL were identified for biomass, PW, and NDVI which co-segregated with major QTL for seed yield SY1.1 BR and SY2.1 BR . The preliminary finding of NDVI 1.1 BR supports aerial imaging in larger genetic populations geared toward QTL analysis of stress response. In summary, phe- notypic extremes helped sort through traits rel- evant to stress response in the BusterRoza RIL population and verified the effect of two major QTL in response to terminal drought.

The dominant resistance gene, Bct, in common bean (Phaseolus vulgaris) confers qualitative resistance to Beet curly top virus, a leafhopper-transmitted geminivirus in the genus Curtovirus. To determine whether this gene confers resistance to other geminiviruses, bean plants of a recombinant inbred population were sap-inoculated with Bean dwarf mosaic virus (BDMV), a whitefly-transmitted bipartite begomovirus in the genus Begomovirus. Results indicated that Bct (or tightly linked gene) is associated with quantitative resistance to BDMV; thus, the Bct locus is associated with resistance to a bean-infecting begomovirus and curtovirus. The difference in the nature of the resistance to these geminiviruses may indicate a role for minor genes in begomovirus resistance or differences in the virus–host interaction. The Bct locus, whether it acts alone or represents a cluster of tightly linked genes, will be useful in breeding for broad-spectrum begomovirus resistance in common bean.

White mold, caused by the fungus Sclerotinia sclerotiorum, is a serious disease in common bean (Phaseolus vulgaris) causing significant yield loss. Few cultivars with high levels of physiological resistance to white mold have been described in common bean. The objectives of this study were to (i) determine variation in aggressiveness for the local S. sclerotiorum isolates and (ii) identify sources of resistance against local isolates using the greenhouse straw test. The evaluated materials included 199 accessions of a core collection established from the main bean gene bank in Spain and 29 known cultivars or lines, 5 of them described as resistant sources to white mold: G122, PC50, A195, Cornell 606, and MO162. Significant differences for aggressiveness among the four S. sclerotiorum isolates were detected. Generally, isolates 1 and 3 were more aggressive than isolates 2 and 4. In all, 19 genotypes exhibited a level of resistance equal to or significantly better than G122: 11 accessions from the core collection and 8 cultivars or lines from known materials, including the lines A195 and Cornell 606. To confirm resistance, 19 selected genotypes were tested using a more severe straw test with reactions evaluated 21 days after inoculation. Fifteen genotypes exhibited significantly less susceptibility than G122: eight accessions from the core collection and the known cultivars or lines AB136, Kaboon, BRB57, BRB130, Don Timoteo, and A195. The logical next step will be to evaluate the best genotypes for field reaction to white mold and conduct inheritance studies.

The cooking time of dry bean varies widely by genotype and is also influenced by the growing environment, storage conditions, and cooking method. Thus high-throughput phenotyping methods to assess cooking time would be useful to breeders interested in developing cultivars with a desired cooking time. The objective of this study was to evaluate the performance of hyperspectral imaging technology for predicting dry bean cooking time. Fourteen dry bean genotypes with a wide range of cooking times were grown in five environments over 2 yr. Hyperspectral images were taken from whole dry seeds, and partial least squares regression models based on the extracted hyperspectral image features were developed to predict water uptake and cooking time of soaked and unsoaked beans. Relatively good predictions of water uptake were obtained, as measured by the correlation coefficient for prediction (Rₚᵣₑd = 0.789) and standard error of prediction (SEP = 4.4%). Good predictions of cooking time for soaked beans (ranging between 19.9–95.5 min) were achieved giving Rₚᵣₑd = 0.886 and SEP = 7.9 min. The prediction models for the cooking time of unsoaked beans (ranging between 80–147 min) were less robust and accurate (Rₚᵣₑd = 0.708, SEP = 10.6 min). This study demonstrated that hyperspectral imaging technology has potential for providing a nondestructive, simple, fast, and economical means for estimating the water uptake and cooking time of dry bean. Moreover, a totally independent set of 110 similar dry bean samples confirmed the suitability of the technique for predicting cooking time of soaked beans after updating the partial least squares model with 20 of the new samples, giving Rₚᵣₑd = 0.872 and SEP = 3.7 min. However, due to the genotypic and phenotypic variability of water absorption and cooking time in dry bean, periodical updates of these prediction models with more samples and new bean accessions, as well as testing other multivariate prediction methods, are needed for further improving model robustness and generalization.

In this study, three different sensing technologies were evaluated for their performance in monitoring pinto beans crop stress at early stages. Treatments involved replicate pinto bean field plots with 50% and 100% irrigation throughout the season. Eight different pinto bean cultivars were seeded on the plots prepared with either strip or conventional tillage method. Evaluated technologies were a handheld linear ceptometer, and multi-spectral proximal and aerial remote sensing technologies. Spatial resolutions of the aerial remote sensing images acquired from 100 m above ground level (AGL) and the proximal sensing images acquired at 6.7 m AGL were 35.2 and 5.6 mm·pixel-1, respectively. Crop indictors of leaf area index (LAI), green normalized difference vegetation index (GNDVI) and canopy cover (CC) were extracted from the data of ceptometer and multispectral sensors collected at the early stages of pinto beans on July of 2015. Results show that spatial coverage of aerial remote sensing was thus 700 times larger than that of proximal remote sensing utilized in this study. GNDVI and CC data from both aerial and proximal remote sensing was able to discriminate crops with different irrigation and tillage treatment significantly at 5% level. Similarly, leaf area index (LAI) from ground sensor (ceptometer) was also able to distinguish effects of different irrigations, but could not differentiate tillage treatments. Correlation trends showed that the aerial remote sensing and ground sensing based indicators were strongly related with crop yield compared to proximal remote sensing based indicators. Although data were collected for natural light variations, possibly latter sensing module had more predominant light variation effect on image quality at different imaging times on given imaging day.

Global plant genetics research efforts have focused on developing high yielding, stress tolerant, and disease resistant row and field crop varieties that are more efficient in their use of agronomic inputs (water, nutrients, pesticides, etc.). Until recently, a key bottleneck in such research was the lack of high-throughput sensing technologies for effective and rapid evaluation of expressed phenotypes under field conditions for holistic data-driven decision making and variety selection. This review focuses on technological aspects of integrating unmanned aerial vehicles with imaging systems to enhance field phenotyping capabilities. The state-of-the-art of unmanned aerial vehicle technology for various applications including crop emergence, vigor, and characterization of yield potential of row and field crops has been reviewed. The potential of using aerial imaging to evaluate resistance/susceptibility to biotic and abiotic stress for crop breeding and precision production management has been discussed along with future perspectives and developments.