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| Espósito,María Andrea; Martin,Eugenia Alejandra; Cravero,Vanina Pamela; Liberatti,David; López Anido,Fernando Sebastián; Cointry,Enrique Luis. |
| The evaluation of selection criteria using correlation coefficients, multiple regression and path analysis was carried out for a period of two years on forty pea genotypes. The correlation analysis revealed that grain yield had genotypic relationships with numbers of pods, seeds per plot, length of the internodes and plant height in 2007 and also with grain diameter, length and width of leaflets and number of nodes at the first pod in 2008. The highest positive direct effects in 2007 were length of the internodes (0.68), seeds per plot (0.38) and numbers of pods (0.26). Length leaflets exhibited a negative direct effect (-0.46). The highest positive indirect contribution of plant height mediated by length of the internodes was 0.50. The highest negative... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Pisum sativum L.; Yield components; Genetic correlation; Stepwise regression; Path coefficient. |
| Ano: 2009 |
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1852-62332009000100001 |
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| Balbinot Junior,Alvadi Antonio; Oliveira,Maria Cristina Neves de; Franchini,Julio Cezar; Debiasi,Henrique; Zucareli,Claudemir; Ferreira,André Sampaio; Werner,Flavia. |
| Abstract: The objective of this work was to evaluate how branch and stem variables contribute to grain yield in individual soybean (Glycine max) plants, cultivated at different planting densities, in a modern cultivar with indeterminate growth type. A field experiment was carried out during the 2013/2014 and 2014/2015 crop seasons, in a randomized complete block design with 12 replicates, using the cultivar NK7059 RR at four planting densities: 135, 235, 315, and 440 thousand plants per hectare. Grain yield per plant was evaluated and represented phenotypic plasticity, while the number of branches per plant, percentage of grain production in branches, and separate yield components from branches and stems were considered as the independent variables. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Plant density; Principal component analysis; Stepwise regression; Yield components. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000901038 |
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