期刊论文详细信息
Pesquisa Agropecuária Brasileira
Genotype and environment interaction on soybean yield in Mato Grosso State, Brazil
José Francisco Ferraz De Toledo2  Cláudio Guilherme Portela De Carvalho2  Carlos Alberto Arrabal Arias2  Leones Alves De Almeida2  Rodrigo Luis Brogin2  Marcelo Fernandes De Oliveira2  José Ubirajara Vieira Moreira2  Aliny Simony Ribeiro2  Dario Minoru Hiromoto1 
[1] ,Embrapa SojaLondrina PR
关键词: Glycine max;    plant breeding;    plant genetics;    soybean adaptation;    Glycine max;    melhoramento de plantas;    genética de plantas;    adaptação de soja;   
DOI  :  10.1590/S0100-204X2006000500010
来源: SciELO
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【 摘 要 】

The objective of this work was to investigate the genotype-environment interaction in Mato Grosso State, MT. The relative importance of locations, years, sowing dates and cultivars and their interactions was analyzed from data collected in regional yield trials performed in a randomized complete block design with four replications, from 1994-1995 through 1999-2000, in nine locations and two sowing dates. Individual and pooled analyses of variance over years and locations were performed. Complementary analyses of variances partitioned MT State in two main and five smaller regions, respectively: North and South of Cuiabá; and MT-South-A (Pedra Preta area), MT-South-B (Rondonópolis and Itiquira), MT-East (Primavera do Leste and Campo Verde), MT-Central (Nova Mutum, Lucas do Rio Verde and Sorriso) and MT-Parecis (Campo Novo dos Parecis and Sapezal). Locations are relatively more important than years for yield testing soybeans in the MT State, therefore, investment should be made in increasing locations rather than years to improve experimental precision. Partitioning the MT State into regions has little impact on soybean yield testing results and, consequently, on the efficiency of the soybean breeding program in the State. Breeding genotypes with broad adaptation for the MT State is an efficient strategy for cultivar development.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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