Queiroz D R, Farias F J C, Cavalcanti J J V, Carvalho L P, Neder D G, Souza L S S, Farias F C, Teodoro P E
Departamento de Agronomia, , , Brasil.
Empresa Brasileira de Pesquisa Agropecuária, Embrapa Algodão, , Brasil.
Genet Mol Res. 2017 Sep 21;16(3):gmr-16-03-gmr.16039727. doi: 10.4238/gmr16039727.
Final cotton quality is of great importance, and it depends on intrinsic and extrinsic fiber characteristics. The objective of this study was to estimate general (GCA) and specific (SCA) combining abilities for technological fiber traits among six upland cotton genotypes and their fifteen hybrid combinations, as well as to determine the effective genetic effects in controlling the traits evaluated. In 2015, six cotton genotypes: FM 993, CNPA 04-2080, PSC 355, TAM B 139-17, IAC 26, and TAMCOT-CAMD-E and fifteen hybrid combinations were evaluated at the Experimental Station of Embrapa Algodão, located in Patos, PB, Brazil. The experimental design was a randomized block with three replications. Technological fiber traits evaluated were: length (mm); strength (gf/tex); fineness (Micronaire index); uniformity (%); short fiber index (%), and spinning index. The diallel analysis was carried out according to the methodology proposed by Griffing, using method II and model I. Significant differences were detected between the treatments and combining abilities (GCA and SCA), indicating the variability of the study material. There was a predominance of additive effects for the genetic control of all traits. TAM B 139-17 presented the best GCA estimates for all traits. The best combinations were: FM 993 x TAM B 139-17, CNPA 04-2080 x PSC 355, FM 993 x TAMCOT-CAMD-E, PSC 355 x TAM B 139-17, and TAM B 139-17 x TAMCOT-CAMD-E, by obtaining the best estimates of SCA, with one of the parents having favorable estimates for GCA.
最终的棉花品质至关重要，它取决于纤维的内在和外在特性。本研究的目的是评估六个陆地棉基因型及其十五个杂交组合在工艺纤维性状方面的一般配合力（GCA）和特殊配合力（SCA），并确定控制所评估性状的有效遗传效应。2015年，在位于巴西帕托斯的巴西农业研究公司棉花实验站，对六个棉花基因型：FM 993、CNPA 04 - 2080、PSC 355、TAM B 139 - 17、IAC 26和TAMCOT - CAMD - E以及十五个杂交组合进行了评估。试验设计为随机区组设计，重复三次。所评估的工艺纤维性状包括：长度（毫米）；强度（克/特克斯）；细度（马克隆值指数）；均匀度（%）；短纤维指数（%）和纺纱指数。按照格里芬提出的方法，采用方法二和模型一进行双列分析。在处理和配合力（GCA和SCA）之间检测到显著差异，表明研究材料存在变异性。所有性状的遗传控制中加性效应占主导。TAM B 139 - 17在所有性状上的GCA估计值最佳。最佳组合为：FM 993×TAM B 139 - 17、CNPA 04 - 2080×PSC 355、FM 993×TAMCOT - CAMD - E、PSC 355×TAM B 139 - 17和TAM B 139 - 17×TAMCOT - CAMD - E，这些组合获得了最佳的SCA估计值，且其中一个亲本的GCA估计值良好。
