Genotype x environment interactions for grain yield of upland rice backcross lines in diverse hydrological environments

T.L. Botwright Acuna, H.R. Lafitte, Len J Wade

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37 Citations (Scopus)
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Genotype x environment (G x E) interactions were investigated in Vandana and a subset of 13 BC2 and BC3 lines of an improved indica upland rice cultivar, Vandana, backcrossed with a drought-tolerant japonica cultivar, Moroberrekin, which has a thick and extensive root system, in response to eight hydrological field environments conducted in Los Banos, in the Philippines, between 2001 to 2003. The G x E interaction accounted for 13% of the total sum of squares with environment and genotype responsible for 84% and 3%, respectively. Cluster analysis identified four environment and six genotype groups, which accounted for 70% of the GxE sum of squares. Of this, AX1, AX2 and AX3 accounted for 27, 22 and 21% of the GxE-SS, respectively. AX1 represented yield potential; AX2 was related to soil conditions, aerobic status and possibly VPD; and AX3 to change in phenology (days to flowering) with stress. The four environment groups were considered as broadly representative of contrasting rice production environments, including lowland-type, upland-wet season, and upland-aerobic environments that experienced vegetative- or anthesis-stage drought stress. Genotype groups differed in adaptation to these diverse environments. For genotype groups G1 to G6, G3 (VM150) had stable yields across environments; G1 (VM134) had the greatest grain yield in lowland-type environments (E2); G5 (VM135) in wet season environments (E3); G6 (VM168) in anthesis-stage drought (E4); G2 (Vandana and VM26) in vegetative- and anthesis-stage drought (E1 and E4); and G4 had average yields across environments. Implications for breeding of rice adapted to contrasting hydrological environments are discussed, with the caution that adaptation to more than one environment type is desirable, because, as is demonstrated in this paper, an untimely climatic event can transform one environment type into another. Our results suggest that selection in one environment type may not give benefit in other envirtypes, so testing in more than one environment type is essential.
Original languageEnglish
Pages (from-to)117-125
Number of pages9
JournalField Crops Research
Issue number2
Publication statusPublished - 2008

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