Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arientinum L.)
Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arientinum L.)
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DOI：
10.1007/s00122-012-2034-0
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发表时间：
2013-04-01
影响因子：
5.4
通讯作者：
Malhotra, R. S.
中科院分区：
文献类型：
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作者：
Hamwieh, A.;Imtiaz, M.;Malhotra, R. S.
一个重组自交系（RIL）的人口，包括181行来自ILC 588 × ILC 3279，在10个环境中进行了评估，在三个不同的水分梯度的位置。记录了抗旱性评分（DRS）、株高（PLHT）、开花天数（DFLR）和成熟天数（MAT）等3个物候性状以及与产量相关的7个性状（沿着），包括籽粒产量（戈伊）、生物产量（BY）、收获指数（HI）、单株荚数（Pod）、空荚率（%Epod）、百粒重（100 sw）、种子数/3株（SN）。两个RIL（152，162）在胁迫和非胁迫环境下表现出最好的GY和DRS。在基因组×环境互作中，QTL分析共检测到93个显著性QTL（LOD a千分率2.0）。最高的表型变异（> 24%）由Terbol-11中的QTL（DFLR）解释。在LG 3和LG 4上共检测到4个与DFLR、DRS、戈伊、MAT、HI、SN和Pod相关的可能的多效QTL。这些QTL与其它标记之间没有显著的上位性互作。然而，DRS的QTL被检测到作为一个保守的QTL在三个晚播环境。标记H6 C-07（在LG 3上）和H5 G 01（在LG 4上）在除两个环境外的所有环境中与许多性状的QTL相关。标记H6 C 07的等位基因“A”（来自耐盐亲本ILC 588）解释了晚播下80%的产量增加和干旱环境下29.8%的产量增加。在干旱分子育种中，以LG 3和LG 4为重点，可以加快这些性状的改良。
A recombinant inbred line (RIL) population, comprising 181 lines derived from ILC588 x ILC3279, was evaluated in 10 environments across three locations with different moisture gradients. A drought resistance score (DRS) and three phenology traits-plant height (PLHT), days to flowering (DFLR), and days to maturity (MAT)-were recorded along with seven yield-related traits-grain yield (GY), biological yield (BY), harvest index (HI), the number of pods/3 plants (Pod), percentage of empty pods (%Epod), 100 seed weight (100 sw), and seed number/3 plants (SN). Two RILs (152, 162) showed the best GYs and DRSs under stressed and non-stressed environments. The quantitative trait loci (QTLs) analyses detected 93 significant QTLs (LOD a parts per thousand yen 2.0) across the genome x environment interactions. The highest phenotypic variation (> 24 %) was explained by the QTL(DFLR) in Terbol-11. Four common possible pleiotropic QTLs on LG3 and LG4 were identified as associated with DFLR, DRS, GY, MAT, HI, SN, and Pod. No significant epistatic interactions were found between these QTLs and the other markers. However, the QTL for DRS was detected as a conserved QTL in three late planting environments. The markers H6C-07 (on LG3) and H5G01 (on LG4) were associated with QTLs for many traits in all environments studied except two. The allele 'A' of marker H6C07 (from the tolerant parent ILC588) explained 80 % of the yield increase under late planting and 29.8 % of that under dry environments. Concentrating on LG3 and LG4 in molecular breeding programs for drought could speed up improvement for these traits.