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Evaluating the Performance of Rice Genotypes for Improving Yield and Adaptability Under Direct Seeded Aerobic Cultivation Conditions

机译：在直接接种有氧栽培条件下评价水稻基因型提高产量和适应性的性能

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With the changing climatic conditions and reducing labor-water availability, the potential contribution of aerobic rice varieties and cultivation system to develop a sustainable rice based agri-food system has never been more important than today. Keeping in mind the goal of identifying high-yielding aerobic rice varieties for wider adaptation, a set of aerobic rice breeding lines were developed and evaluated for grain yield, plant height, and days to 50% flowering in 23 experiments conducted across different location in Philippines, India, Bangladesh, Nepal, and Lao-PDR between 2014 and 2017 in both wet and dry seasons. The heritability for grain yield ranged from 0.52 to 0.90. The season-wise two-stage analysis indicated significant genotype x location interaction for yield under aerobic conditions in both wet and dry seasons. The genotype × season × location interaction for yield was non-significant in both seasons indicating that across seasons the genotypes at each location did not show variability in the grain yield performance. Mean grain yield of the studied genotypes across different locations/seasons ranged from 2,085 to 6,433 Kg ha−1. The best-fit model for yield stability with low AIC value (542.6) was AMMI(1) model. The identified stable genotypes; IR 92521-143-2-2-1, IR 97048-10-1-1-3, IR 91326-7-13-1-1, IR 91326-20-2-1-4, and IR 91328-43-6-2-1 may serve as novel breeding material for varietal development under aerobic system of rice cultivation. High yield and stable performance of promising breeding lines may be due to presence of the earlier identified QTLs including grain yield under drought, grain yield under aerobic conditions, nutrient uptake, anaerobic germination, adaptability under direct seeded conditions, and tolerance to biotic stress resistance such as qDTY2.1, qDTY3.1, qDTY12.1, qNR5.1, AG9.1, qEVV9.1, qRHD1.1, qRHD5.1, qRHD8.1 qEMM1.1, qGY6.1, BPH3, BPH17, GM4, xa4, Xa21, Pita, and Pita2. The frequency of xa4 gene was highest followed by qAG9.1, GM4, qDTY3.1, qDTY2.1, qGY6.1, and qDTY12.1.
机译：随着气候条件的变化和劳动力用水量的减少，好氧水稻品种和栽培系统对发展可持续的水稻农业食品系统的潜在贡献比以往任何时候都重要。考虑到确定高产需氧水稻品种以更广泛适应的目标，在菲律宾不同地区进行的23个实验中，开发了一组需氧水稻育种系并评估了其产量，植物高度和开花至50％的天数，印度，孟加拉国，尼泊尔和老挝人民民主共和国在2014年至2017年的干湿两季。谷物产量的遗传力范围为0.52至0.90。按季节进行的两阶段分析表明，在有氧条件下，无论是在潮湿季节还是干燥季节，基因型x位置相互作用对于产量的影响都很大。在两个季节中，基因型×季节×位置对产量的交互作用均不显着，这表明整个季节，每个位置的基因型在谷物产量表现上均未显示出变异性。研究基因型在不同地区/不同季节的平均单产为2,085至6,433 Kg ha -1 。低AIC值（542.6）的最佳稳定性模型是AMMI（1）模型。确定的稳定基因型； IR 92521-143-2-2-1，IR 97048-10-1-1-3，IR 91326-7-13-1-1，IR 91326-20-2-1-4和IR 91328-43- 6-2-1可作为水稻有氧系统下品种发展的新型育种材料。有前途的育种系的高产量和稳定表现可能归因于较早发现的QTL的存在，包括干旱下的谷物产量，有氧条件下的谷物产量，养分吸收，厌氧萌发，直接播种条件下的适应性以及对生物胁迫抗性的耐受性，例如如qDTY2.1，qDTY3.1，qDTY12.1，qNR5.1，AG9.1，qEVV9.1，qRHD1.1，qRHD5.1，qRHD8.1 qEMM1.1，qGY6.1，BPH3，BPH17，GM4， xa4，Xa21，Pita和Pita2。 xa4基因的频率最高，其次是qAG9.1，GM4，qDTY3.1，qDTY2.1 ，qGY 6.1和 qDTY 12.1。

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