Investigating test site similarity, trait relations and causes of genotype×environment interactions of sugarcane in the Midlands region of South Africa

Ramburan, S.; Zhou, Marvellous; Labuschagne, Maryke

doi:10.1016/j.fcr.2012.01.017

Cited by 26 publications

(24 citation statements)

References 22 publications

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“…Consequently, considerable progress in breeding can be achieved by focusing on adaptability to location effects, particularly when the locations are dominated by soil types. In the Midlands region of South Africa, the locations are dominated by soil effects, with one set of the testing locations consisting of humic soils and the second largely constitute sandy soils (Ramburan et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the G×E interaction in sugarcane is largely controlled by location, time of planting or harvest, and crop‐years (Kimbeng et al, 2009); this is possibly true for South Africa. Locations represent the inherent characteristics of the site such as soil types, as well as prevalent agro‐climatic conditions (Ramburan et al, 2012; Zhou et al, 2011). In South Africa, the sugarcane breeding programs for the Midlands region were established primarily to exploit the humic and sandy soils (Nuss, 1998) that are prevalent in the area.…”

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confidence: 99%

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Location Effects and Their Implications in Breeding for Sugarcane Yield and Quality in the Midlands Region in South Africa

Zhou

Gwata

2015

Crop Science

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The genotype × environment interaction (G×E) influences the values of genetic gains attained by plant breeding programs when breeding materials are evaluated in diverse agro‐ecological areas. This study was designed to evaluate a broad spectrum of sugarcane (Saccharum officinarum L.) genotypes for G×E and determine the yield and quality differences in the Midlands sugarcane production region of South Africa. Three of the testing locations consisted of a humic soil type, whereas the remainder was under sandy soils. Data collected from the plant and first and second ratoon crops in randomized complete block trials with three replications were analyzed. The significant (P < 0.001) cane yield and quality [estimable recoverable crystal (ERC) per cane, dry matter (DM) per cane, fiber per cane] differences at locations and the significant (P < 0.01) genotype × location interaction (GL) effects supported the need to continue developing varieties that are specifically adapted for humic and sandy soils. The sandy soil locations were more diverse in their sand, clay, and organic matter content than humic soil locations. The cane yield of genotypes was significantly (P < 0.001) higher and the ERC per cane was significantly lower at locations with humic soils than sandy soils. Therefore, there is merit in breeding for high sucrose content in the humic soil breeding program and focusing on high biomass accumulation in the sandy soils program to increase overall sugar yield.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Location Effects and Their Implications in Breeding for Sugarcane Yield and Quality in the Midlands Region in South Africa

Zhou

Gwata

2015

Crop Science

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“…In a related study, Ramburan et al (2012) showed that the relationship between TCANE and POP was strong across environmental groups formed in the midlands (high altitude; 24-mo cutting cycle) region of the South African sugarcane industry. In this study, the relationship between TCANE and POP was generally weak across series whereas TCANE and STKMS showed a stronger relationship.…”

Section: Interpretation Using Genotypic Traitsmentioning

confidence: 98%

Integrating Empirical and Analytical Approaches to Investigate Genotype × Environment Interactions in Sugarcane

2012

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The causes of genotype × environment (G × E) interactions in sugarcane (Saccharum spp.) are unclear. The objectives of this study were to (i) investigate the G × E interactions and site similarity in two selection programs in South Africa, (ii) identify factors responsible for G × E interactions, and (iii) illustrate the integrated use of crop models and climatic data to better understand G × E interactions. Data from eight series of trials were analyzed using variance components, genotype plus genotype × environment (GGE) biplots, and additive main effects and multiplicative interaction (AMMI). Crop model simulations helped summarize environmental covariates before and after canopy closure. Environmental covariates and genotypic traits were correlated to AMMI scores and superimposed on biplots. The G × E interaction accounted for more variation than the main effect of genotype and the repeatable component of G × E was dominant across all series. Two sites were identifi ed as redundant and were recommended for removal. Sites from one program were characterized by higher rainfall and lower water stress compared with sites from the other. The enriched AMMI2 biplots allowed for identifi cation of factors that infl uenced genotypic traits and permitted biological interpretations and trait relations to be studied. This study has illustrated of harvest; TT, mean daily thermal time; TT1 and TT2, average daily heat units before and after canopy closure, respectively; WSI, water stress index; WSI1 and WSI2, water stress index before and after canopy closure, respectively.

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“…Nesse modelo, o terceiro eixo não é mais necessário em um nível de significância de 2%, além de apresentar porcentagem da variação acumulada, devido à interação explicada, em 67% (Tabela 5). Esse valor corrobora percentuais apresentados por outros autores para produtividade de grãos (Annicchiarico et al, 2011;Ramburan et al, 2012;Sanchez-Garcia et al, 2012;Wamatu et al, 2003) e é considerado adequado por explicar a maior parte da variação padrão presente na interação. Utilizando-se a técnica de componentes principais, a variação total, devido à interação G×A, pode ser explicada pelo menor número de linhas ou colunas da matriz de interação menos uma unidade.…”

Section: Resultsunclassified

Interação genótipo x ambiente em genótipos de cafeeiro Mundo Novo por modelos não lineares e multiplicativos

et al. 2013

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ResumoEste trabalho teve por objetivo avaliar a adaptabilidade e estabilidade fenotípica da produtividade de genótipos do grupo Mundo Novo pelos métodos TOLER e AMMI de maneira a compará-los e a selecionar aqueles que apresentassem alta adaptabilidade produtiva nas regiões produtoras de café do estado de Minas Gerais. Foram instalados e conduzidos experimentos em Três Pontas, Campos Altos e Capelinha, em delineamento de blocos casualizados, com quatro repetições e seis plantas por parcela. Os tratamentos foram constituídos por 33 genótipos do grupo Mundo Novo obtidos no Programa de Melhoramento Genético do Cafeeiro conduzido pelo Instituto Agronômico de Campinas (IAC). As avaliações de produção foram efetuadas ao longo de seis colheitas, as quais foram agrupadas em biênios. Cada combinação biênio x local foi considerada um ambiente, totalizando nove ambientes de estudo. Uma vez detectada a presença de interação genótipo x ambiente pelo teste de F de Snedecor, procedeu-se à análise de estabilidade, sendo a adaptação representada pela produtividade. Os métodos AMMI e TOLER foram semelhantes ao classificar os genótipos e ambientes e devem ser usados em conjunto em programas de melhoramento do cafeeiro para maior confiabilidade das informações, uma vez que suas interpretações são complementares. A estabilidade foi associada, nesse estudo, com baixa adaptabilidade. Os genótipos IAC 379-19, IAC 388-6-16 e IAC 403-1 apresentaram-se instáveis com alta adaptabilidade. Os genótipos IAC 2931 e IAC 480 se enquadram como desejáveis, pois associam estabilidade média e produtividade considerável.Palavras-chave: Coffea arabica L., melhoramento genético, adaptabilidade, estabilidade fenotípica. Genotype x environment interaction in Mundo Novo coffee genotypes by non-linear and multiplicative models AbstractThe purpose of this study was to evaluate the phenotypic adaptability and stability for yield in coffee genotypes of the cultivar "Mundo Novo" by using the methods TOLER and AMMI, as well as to select genotypes with high productive adaptability in the coffee growing regions of Minas Gerais. The experiments were carried out in Três Pontas, Campos Altos and Capelinha, Minas Gerais, Brazil, in a randomized complete block design with four repetitions and six plants per plot. The treatments consisted of 33 genotypes of cultivar "Mundo Novo" provided by the coffee plant breeding program of the Instituto Agronômico (IAC). The yield analyses were performed during six harvests, which were grouped in bienniums. Each combination biennium x site was considered an environment totalizing nine environments. Once the genotype x environment interaction was detected by the F test of Snedecor, the stability analysis was done with the adaptation being represented by yield. The methods AMMI and TOLER were similar when classifying the genotypes and environments, and should be used together in coffee breeding programs in order to obtain greater reliability of information, as they are complementary. In this study the stability was associated with low...

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Investigating test site similarity, trait relations and causes of genotype×environment interactions of sugarcane in the Midlands region of South Africa

Cited by 26 publications

References 22 publications

Location Effects and Their Implications in Breeding for Sugarcane Yield and Quality in the Midlands Region in South Africa

Location Effects and Their Implications in Breeding for Sugarcane Yield and Quality in the Midlands Region in South Africa

Integrating Empirical and Analytical Approaches to Investigate Genotype × Environment Interactions in Sugarcane

Interação genótipo x ambiente em genótipos de cafeeiro Mundo Novo por modelos não lineares e multiplicativos

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