Araújo M S B, Daher R F, Menezes B R S, Gravina G A, Silva V B, Amaral Júnior A T, Rodrigues E V, Almeida B O, Ponciano N J
Laboratório de Melhoramento Genético Vegetal, , , Brasil
Laboratório de Engenharia Agrícola, , , Brasil.
Genet Mol Res. 2017 Aug 17;16(3):gmr-16-03-gmr.16039041. doi: 10.4238/gmr16039041.
The objectives of this study were to estimate the stability of dry biomass production of elephant grass genotypes under an annual harvest regime, in soil-climatic conditions of the Northern region of the Rio de Janeiro State, Brazil, and to compare methodologies for stability analyses of Yates and Cochran (YC), Plaisted and Peterson (PP), Annicchiarico (ANN), Lin and Binns (LB), Huenh (HU), and Kang and Phan (KP). A randomized block design with 83 treatments and two replicates was adopted. Four annual harvests were performed (2012-2015) and dry matter yield (DMY, t.ha.year) was evaluated. Individual and combined analyses of variance for DMY revealed significant effects for genotypes, harvests, and for the genotype x harvest interaction at the probability levels of 1 and 5%. Genotypes indicated by the YC and PP methods are associated with higher stability and lower DMY. The weighting of KP with YC and PP was highly effective in associating stability with DMY. The LB and ANN methods showed strong agreement with each other and produced similar classifications as to phenotypic stability, and so we recommend using one or the other. Genotypes Elefante Cachoeiro do Itapemirim, Cuba-116, Taiwan A-46, P241 Piracicaba, Taiwan A-144, Cameroon - Piracicaba, 10 AD IRI, Guaçu/I,Z,2, Mineirão IPEACO, Taiwan A-121, IJ7125 cv EMPASC308, 903-77, Mole de Volta Grande, and Porto Rico 534-B showed high stability and DMY, standing out as promising genotypes for the soil-climatic conditions of the Northern region of the Rio de Janeiro State. The methodologies based on ANOVA and non-parametric analyses were complementary and increased reliability in the recommendation of genotypes.
本研究的目的是在巴西里约热内卢州北部地区的土壤气候条件下，估计象草基因型在年度收获制度下干生物量生产的稳定性，并比较耶茨和 Cochr an（YC）、普莱斯特德和彼得森（PP）、安尼恰里科（ANN）、林和宾斯（LB）、胡恩（HU）以及康和潘（KP）的稳定性分析方法。采用了具有83个处理和两个重复的随机区组设计。进行了四次年度收获（2012 - 2015年），并评估了干物质产量（DMY，吨/公顷·年）。DMY的个体和联合方差分析显示，在1%和5%的概率水平下，基因型、收获以及基因型×收获互作具有显著影响。YC和PP方法所指示的基因型与较高的稳定性和较低的DMY相关。KP与YC和PP的加权在将稳定性与DMY关联方面非常有效。LB和ANN方法彼此之间显示出很强的一致性，并且在表型稳定性方面产生了相似的分类，因此我们建议使用其中一种。基因型Elefante Cachoeiro do Itapemirim、Cuba - 116、Taiwan A - 46、P241 Piracicaba, Taiwan A - 144、Cameroon - Piracicaba、10 AD IRI、Guaçu/I,Z,2、Mineirão IPEACO、Taiwan A - 121、IJ7125 cv EMPASC308、903 - 77、Mole de Volta Grande和Porto Rico 534 - B表现出高稳定性和DMY，在里约热内卢州北部地区的土壤气候条件下作为有前景的基因型脱颖而出。基于方差分析和非参数分析的方法是互补的，并且在基因型推荐中提高了可靠性。
