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This study was carried out at the farm of producer Rodolfo Miranda in Los Palacios municipality with the objective of seeking a relationship between yield, its components and other traits in rice genotypes treated with the biostimulants Biobras-16® and QuitoMax®. A completely randomized design was used with eighteen treatments (a control without application and independent applications of Biobras-16® and QuitoMax®) and three replicates each, and six quantitative traits were evaluated. The data matrix obtained was processed by means of Multivariate Principal Component Analysis, Multiple Linear Regression and Pearson correlations. The results revealed that most of the variables evaluated showed correlations, except full grains per panicle that was not interrelated with any other trait. The Principal Component analysis explained 74 % of the total variance, all the original variables contributed to the first component, except full and vain grains per panicle that contributed to the second component. Groups I and II included the cultivar INCA LP-7 and Line 4 in combination with the products under study and Line 3 with Biobras-16®. They were characterized by having the highest values for all traits, except vain grains per panicle, and the model proposed by the multiple linear regression analysis explained more than 85 % of the variability in yield, being an optimal predictor of this trait for studies under similar conditions. [ABSTRACT FROM AUTHOR]

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The research was conducted to evaluate the behavior of new rice lines (Oryza sativa L.) obtained by hybridization with the aim of increase yields and crop genetic diversity. fifthteen lines were studied from different hybrid combinations and two cultivars used as test and also as progenitors which were involved in some of the originated lines crossing. twenty two characters were considered, qualitative and quantitative one, which were measured in the stages of flowering, ripening and post-harvest of the crop, using a Completely Randomized design with five replications. The data obtained were subjected to univariate and multivariate statistical analyzes. The lines evaluated were similar in some qualitative characters and different in all quantitative characters; also it was possible to determine the most important variables for the characterization. The lines G/S-L1, G/S-L10, G/S-L13 that make up the group I were the best behavior, combining good plant erection, well emerged panicles, late or intermediate senescence and higher yield, beating the test used. [ABSTRACT FROM AUTHOR]

The study was carried out at the Research Experimental Plot (RE1) from Tsukuba International Center (TBIC) located in Ibaraki Prefecture, Japan, with the objective of analyzing the productive structure and yield of four rice (Oryza sativa L.) varieties of different origin. Treatments correspond to J-104, Bluebonnet-50, Suweon-294 and Nipponbare varieties. Dry matter content and light intensity were determined, also yield and its components were evaluated and the relationship existing between yield and light intensity was analyzed. A Single Classification Variance Analysis and Duncan's Multiple Range Test were used. Results showed differences between treatments and the indica-japonica variety Suweon-294 presented the best behaviour in the productive structure analysis, while the indica variety J-104 reached the highest yields. The regression between studied variables indicates a direct relationship. [ABSTRACT FROM AUTHOR]

This work was developed at Basic Scientific and Technological Unit of "Los Palacios" with the objective of evaluating the behavior of growth and yield of two sorghum varieties (Sorghum bicolor L. Moench) in Los Palacios town. The varieties Gilded ISIAP and CIAP 132 R were used, which were sowed in the sowing dates of December, 2009 and February, 2010. The technology of direct sowing was used and the cultural activities were developed according to that recommended by the Crop Technical Instructive. A Randomized complete experimental design with four replicas was used. The dry mass distribution of the air part and the leaf area index, in 10 plants for each parcel, every 15 days until the physiologic maturity, were evaluated. With these variables the dynamics of growth were established and the agricultural yield was determined, data that were processed by T Student, to 5 % of error probability. Considering the results it can be concluded that yields were influenced by sowing date and its biggest values were in correspondence with a bigger development of the leaf surface. Both varieties can be used in the town since their productive results exceed the values set in Cuba for sorghum crop. [ABSTRACT FROM AUTHOR]