Khanna Apurva, Anumalla Mahender, Catolos Margaret, Bartholomé Jérôme, Fritsche-Neto Roberto, Platten John Damien, Pisano Daniel Joseph, Gulles Alaine, Sta Cruz Ma Teresa, Ramos Joie, Faustino Gem, Bhosale Sankalp, Hussain Waseem
Rice Breeding Innovation Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
AGAP Institute, CIRAD, INRA, Montpellier SupAgro, Univ Montpellier, Montpellier, France.
Rice (N Y). 2022 Mar 5;15(1):14. doi: 10.1186/s12284-022-00559-3.
Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breeding program for improved genetic gains. In this study, 17 years of historical data from IRRI's rice drought breeding program was used to estimate the genetic trends and assess the breeding program's success. We also identified top-performing lines based on grain yield breeding values as an elite panel for implementing future population improvement-based breeding schemes. A two-stage approach of pedigree-based mixed model analysis was used to analyze the data and extract the breeding values and estimate the genetic trends for grain yield under non-stress, drought, and in combined data of non-stress and drought. Lower grain yield values were observed in all the drought trials. Heritability for grain yield estimates ranged between 0.20 and 0.94 under the drought trials and 0.43-0.83 under non-stress trials. Under non-stress conditions, the genetic gain of 0.21% (10.22 kg/ha/year) for genotypes and 0.17% (7.90 kg/ha/year) for checks was observed. The genetic trend under drought conditions exhibited a positive trend with the genetic gain of 0.13% (2.29 kg/ha/year) for genotypes and 0.55% (9.52 kg/ha/year) for checks. For combined analysis showed a genetic gain of 0.27% (8.32 kg/ha/year) for genotypes and 0.60% (13.69 kg/ha/year) for checks was observed. For elite panel selection, 200 promising lines were selected based on higher breeding values for grain yield and prediction accuracy of > 0.40. The breeding values of the 200 genotypes formulating the core panel ranged between 2366.17 and 4622.59 (kg/ha). A positive genetic rate was observed under all the three conditions; however, the rate of increase was lower than the required rate of 1.5% genetic gain. We propose a recurrent selection breeding strategy within the elite population with the integration of modern tools and technologies to boost the genetic gains in IRRI's drought breeding program. The elite breeding panel identified in this study forms an easily available and highly enriched genetic resource for future recurrent selection programs to boost the genetic gains.
利用历史数据估计遗传趋势是检验育种计划成功与否的一个重要参数。估计的遗传趋势可作为指导方针,以确定合适的育种策略,并优化育种计划以提高遗传增益。在本研究中,利用国际水稻研究所水稻干旱育种计划的17年历史数据来估计遗传趋势,并评估育种计划的成效。我们还根据籽粒产量育种值确定了表现最佳的品系,作为实施未来基于群体改良的育种方案的精英群体。采用基于系谱的混合模型分析的两阶段方法来分析数据,提取育种值,并估计非胁迫、干旱以及非胁迫和干旱组合数据下的籽粒产量遗传趋势。在所有干旱试验中,籽粒产量值均较低。干旱试验下籽粒产量估计的遗传力在0.20至0.94之间,非胁迫试验下为0.43 - 0.83。在非胁迫条件下,观察到基因型的遗传增益为0.21%(10.22千克/公顷/年),对照为0.17%(7.90千克/公顷/年)。干旱条件下的遗传趋势呈正趋势,基因型的遗传增益为0.13%(2.29千克/公顷/年),对照为0.55%(9.52千克/公顷/年)。组合分析显示,基因型的遗传增益为0.27%(8.32千克/公顷/年),对照为0.60%(13.69千克/公顷/年)。对于精英群体选择,基于籽粒产量的较高育种值和预测准确性>0.40,选择了200个有前景的品系。构成核心群体的200个基因型的育种值在2366.17至4622.59(千克/公顷)之间。在所有三种条件下均观察到正的遗传率;然而,增加率低于所需的1.5%遗传增益率。我们提出在精英群体中采用轮回选择育种策略,并整合现代工具和技术,以提高国际水稻研究所干旱育种计划的遗传增益。本研究中确定的精英育种群体为未来的轮回选择计划提供了一个易于获取且高度丰富的遗传资源,以提高遗传增益。