Genotype-by-region interactions of released sugarcane varieties for cane yield in the South African sugar industry

被引:13
作者
Duma, Sbongeleni W. [1 ]
Shimelis, Hussein [1 ]
Ramburan, Sanesh [1 ,2 ]
Shayanowako, Admire I. T. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Scottsville, South Africa
[2] South African Sugarcane Res Inst, Plant & Environm Resource Ctr, Mt Edgecombe, South Africa
关键词
GxE-interaction; mega-environment; stability and adaptability; X ENVIRONMENT INTERACTIONS; AMMI ANALYSIS; GGE BIPLOT; TRAIT RELATIONS; STABILITY; MODEL;
D O I
10.1080/15427528.2019.1621974
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Sugarcane (Saccharum spp.) yields in the South African sugar industry are affected largely by genotype by environment (G x E) interactions. The objectives of this study were to investigate the nature and magnitude of G x E interactions of selected sugarcane genotypes based on regional evaluation trials and to identify mega-environments to inform future testing strategies. The study was conducted across five regions in KwaZulu-Natal province. Ten sugarcane hybrids and one commercial check hybrid were evaluated using a randomized complete block design with four replications. Data collected were analyzed using the additive main effect and multiplicative interaction (AMMI 2) and genotype main effect plus genotype by environment interaction (GGE) bi-plot analyses. A combined analysis of variance detected significant variation for genotypes, locations, and crop year and their interactions for total cane yield, estimated recoverable crystal and sugar yield. Genotypes N19 and N40 showed broad adaptability for cane and sugar yields, whereas N51 and N12 were superior for sucrose percentage. High cane yields were achieved in the following environments: South Coast, North Coast, Hinterland and irrigated North regions. Overall, the Irrigated North region was the most suitable environment for discriminating among cultivars and for being a representative test environment. Two mega-environments (MGE) were identified for the industry; where Midland and Hinterland sites fell in the same MGE 1; and North Coast, South Coast, and Irrigated North were combined into MGE 2.
引用
收藏
页码:478 / 504
页数:27
相关论文
共 25 条
[1]  
[Anonymous], 1992, Statistical analysis of regional yield trials: AMMI analysis of factorial designs, DOI DOI 10.1016/0308-521X(96)86769-2
[2]   Evaluation of sugarcane genotypes and production environments in Parana by GGE biplot and AMMI analysis [J].
Costa de Mattos, Pedro Henrique ;
de Oliveira, Ricardo Augusto ;
Bespalhok Filho, Joao Carlos ;
Daros, Edelclaiton ;
Aloiso Verissimo, Mario Alvaro .
CROP BREEDING AND APPLIED BIOTECHNOLOGY, 2013, 13 (01) :83-90
[3]   Identifying mega-environments and targeting genotypes [J].
Gauch, HG ;
Zobel, RW .
CROP SCIENCE, 1997, 37 (02) :311-326
[4]   Optimal replication in selection experiments [J].
Gauch, HG ;
Zobel, RW .
CROP SCIENCE, 1996, 36 (04) :838-843
[5]   A Simple Protocol for AMMI Analysis of Yield Trials [J].
Gauch, Hugh G., Jr. .
CROP SCIENCE, 2013, 53 (05) :1860-1869
[6]   The effect of genotype, environment and time of harvest on sugarcane yields in Florida, USA [J].
Gilbert, RA ;
Shine, JM ;
Miller, JD ;
Rice, RW ;
Rainbolt, CR .
FIELD CROPS RESEARCH, 2006, 95 (2-3) :156-170
[7]   AMMI analysis to evaluate the adaptability and phenotypic stability of sugarcane genotypes [J].
Inacio da Silveira, Luis Claudio ;
Kist, Volmir ;
Mendes de Paula, Thiago Otavio ;
Pereira Barbosa, Marcio Henrique ;
Peternelli, Luiz Alexandre ;
Daros, Edelclaiton .
SCIENTIA AGRICOLA, 2013, 70 (01) :27-32
[8]   Modelling sugarcane production systems I. Development and performance of the sugarcane module [J].
Keating, BA ;
Robertson, MJ ;
Muchow, RC ;
Huth, NI .
FIELD CROPS RESEARCH, 1999, 61 (03) :253-271
[9]  
Kimbeng C. A., 2009, Journal - American Society of Sugar Cane Technologists, V29, P11
[10]   Impact of sugarcane supply scheduling on mill sugar production: A South African case study [J].
Le Gal, P. -Y. ;
Lyne, P. W. L. ;
Meyer, E. ;
Soler, L. -G. .
AGRICULTURAL SYSTEMS, 2008, 96 (1-3) :64-74