|
|
|
|
|
| Rodrigues, Mateus Gonçalves; Ramos, Eliene Wellita Vieira Barcelos; Buso, Wilian Henrique Diniz. |
| Brazil is the largest beans producer, and this legume is one of the primary sources of plant-based proteins. Some minerals, such asmanganese, are essential for this crop development. From the socio-economic importance of the beans crop, this study aims to evaluate theagronomic performance of irrigated common beans grown under different doses of manganese on two application periods. The experiment was conducted in the experimental area of the Instituto Federal Goiano, Campus Ceres (GO), adopting an experimental design arranged in a 2x4 factorial scheme with four replications, comprising two periods of application (V4 and R5 phenological stages) and four Mn doses (0, 150, 300, 450 g ha-1). The variables evaluated were plant height (m), number of pods per... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Fertilization; Agronomic Parameters; Grain Yield; Adubação; Parâmetros Agronômicos; Produtividade. |
| Ano: 2021 |
URL: http://periodicosonline.uems.br/index.php/agrineo/article/view/6018 |
| |
|
| |
|
|
| Leite,Wallace de Sousa; Unêda-Trevisoli,Sandra Helena; Silva,Fabiana Mota da; Silva,Alysson Jalles da; Mauro,Antonio Orlando Di. |
| ABSTRACT The selection of superior genotypes of soybean is a complex process, thus exploratory multivariate techniques can be applied to select genotypes analyzing the agronomic traits altogether, increasing the chance of success of a breeding program. Thus, the objective of this study was to select soybean genotypes carrying the RR gene with good agronomical performance through of multivariate analysis and selection index and identify those traits that influence, also verifying the agreement of multivariate techniques and selection index in the selection process. The experiment was conducted in an increased block experimental being evaluated 227 genotypes of F5 generation, which 85 of those were detected to be glyphosate-resistant by PCR. The following... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Clustering analysis; Principal components; Selection gain; Grain Yield. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000300491 |
| |
|
|
|
