análise de fatores e estratificação ambiental na avaliação da adaptabilidade e estabilidade em soja factor analysis and environmental stratification in the assessment of soybean adaptability and stability

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ID: 188932
2007
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Ranked #107 of 193 articles by views in proc - the fourth ieee workshop on software technol for future embedded and ubiquitous syst, seus 2006 andthe second int workshop on collaborative comput, integr, and assur, wccia 2006

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Abstract
O objetivo deste trabalho foi avaliar a eficiência de diferentes métodos de estratificação ambiental, a representatividade dos locais de avaliação, e a adaptabilidade e estabilidade de genótipos de soja, por meio de ensaios de produtividade de grãos, nos estados do Paraná e Santa Catarina, nos anos agrícolas de 2000 a 2003, em um total de 15 ambientes. Foram utilizados, para estratificação ambiental, o método tradicional de Lin e a análise de fatores aliada ao porcentual de parte simples (PS%) da interação genótipo vs. ambiente (GxA). Na determinação da adaptabilidade e estabilidade dos genótipos, foram utilizados modelos baseados em regressão linear única e bissegmentada. Foram testados 21 genótipos de soja em delineamento de blocos ao acaso com três repetições, na avaliação da produtividade de grãos. O genótipo RB 605 apresenta ampla faixa de adaptação com elevada produtividade média de grãos. De acordo com ambos os métodos, as localidades de Palotina e Brasilândia do Sul podem ser reduzidas a somente um local de ensaio.A análise de fatores associada ao PS% da interação GxA é mais seletiva para estratificação ambiental, em relação ao método tradicional de Lin.
The objective of this work was to assess the efficiency of different methods of environmental stratification, the representation level of the evaluation places, and the adaptability and stability of soybean genotypes, through yield trials in the Paraná and Santa Catarina States, Brazil, in the agricultural years of 2000 to 2003, totaling 15 environments. For environmental stratification, the Lin's traditional method and factor analysis, allied to percentage of the simple portion (SP%) of genotype vs. environment interaction (GxE), were utilized. Adaptability and stability of the genotypes were determined by linear and bisegmented regression models. Twenty one soybean genotypes were evaluated on randomized complete blocks design, comprising three replications, and the analyzed variable was grain yield. RB 605 genotype is highly adapted and presents high yield. According to both methods, Palotina and Brasilândia do Sul localities can be reduced to one trial location. The factor analysis allied to SP% of GxE interaction is more selective to environmental stratification in relation to the Lin's traditional method.
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Authors ;Osmair Mendonça;Valéria Carpentieri-Pípolo;Deoclécio Domingos Garbuglio;Nelson da Silva Fonseca Junior
Journal proc - the fourth ieee workshop on software technol for future embedded and ubiquitous syst, seus 2006 andthe second int workshop on collaborative comput, integr, and assur, wccia 2006
Year 2007
DOI
10.1590/S0100-204X2007001100008
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2007001100008
Keywords
glycine max predictabilityagriculture (general)

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