Performance of New Lines from Anther Culture, Mutation Breeding and Interspecific Crosses, under Lowland and Irrigated Condition in Mali

F. Cissé, J. R. Sangaré, Medoune P. Khouma, K. Ho, B. Manneh
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Abstract

Rice productivity is still low in Mali due to many factors such biotic and abiotic stresses, and the immense rice-growing potential is underutilized. There is a need to enhance rice productivity through a development of new varieties more productive and stable. Under the partnership between the Institute of Rural Economy, AfricaRice and Korea-Africa Food and Agriculture Cooperation Initiative (KAFACI) nine new lines selected among 300 fixed lines were evaluated in 8 sites under irrigated and lowland conditions. The plant material included 4 KAFACI lines derived from Anther culture (series K), 2 lines from interspecific crosses (series DKA), one line (DKA-M50) from induced mutation on wild rice (Oryza longistaminata), and other lines from simple crosses. The objective of the study is to identify genotypes adapted to irrigated, or lowland and/or both conditions. Analysis of variance revealed the genotypes differed significantly (p < 000.1) at all environments except Kadiolo, Longorola and Manikoura, which implies that the geno types constitute a pool of germplasm with adequate genetic variability. Heritability was high with 0.76 suggesting high component of heritable portion, therefore selection for the improvement for this trait can be achieved directly based on their phenotypic performance. The combined analysis of variance indicated significant effects of environment (p < 000.1), genotype (p < 000.1) and genotype × environment interaction (GEI) (p < 000.1) on grain yield. The significance of genotype and environment interaction suggests that genotypes behaved differently in different environment and demonstrated that GEI had remarkable effect on genotypic performance in different environments. The highest environment mean grain yield was observed in San (5,197 kg/ha), followed by Baguineda (4,960 kg/ha). The genotype SIK 442-2-2 was identified as genotype adapted to wider environments, and hereby recommended for cultivation in Mali. Wild rice derivative genotypes DKA 42, DKA-M50 and DKA 37 exhibited low yield and high stability. These genotypes are more suitable for breeding specific traits. Analysis also revealed that ARS 100-5-1-B, K150849 and K150810 exhibited low yield along with low stability. GGE biplot depicted the presence of three mega environments among the test environments used for evaluation of genotypes and revealed the nature of mega-environment. Based on this, the test environment could be grouped into three diverse mega-environments. The environments of Selingué 2, Selingué 1, Manikoura, Mopti and San grouped into the same mega-environment and the interspecific line SIK 442-2-2 was identified as the best performing and candidate genotype for this mega-environment. Kadiolo and Longorola grouped into the same mega-environment with the check variety as candidate genotype for this mega-environment. In Baguineda mega-environment, K150014 was identified as the best performing genotype.
马里低地灌溉条件下花药培养、诱变育种和种间杂交新品系的表现
由于生物和非生物胁迫等许多因素,马里的水稻生产力仍然很低,巨大的水稻种植潜力没有得到充分利用。有必要通过开发更高产、更稳定的新品种来提高水稻产量。在农村经济研究所、AfricaRice和韩非粮食与农业合作倡议(KAFACI)的合作下,在灌溉和低地条件下的8个地点,从300条固定线路中选出9条新线路进行了评估。植物材料包括4个花药培养KAFACI系(K系列),2个种间杂交系(DKA系列),1个野生稻(Oryza longistaminata)诱导突变系(DKA- m50),以及其他简单杂交系。该研究的目的是确定适合灌溉或低地和/或两者条件的基因型。方差分析显示,除Kadiolo、Longorola和Manikoura外,其他环境的基因型差异显著(p < 000.1),说明基因型构成了一个具有充分遗传变异的种质资源池。遗传率为0.76,表明该性状的可遗传部分成分较高,可直接根据其表型表现进行改良选择。综合方差分析表明,环境(p < 000.1)、基因型(p < 000.1)和基因型与环境互作(GEI) (p < 000.1)对籽粒产量有显著影响。基因型与环境交互作用的显著性表明基因型在不同环境下表现不同,说明GEI对不同环境下基因型表现有显著影响。环境平均粮食产量最高的是桑(5197公斤/公顷),其次是巴圭内达(4960公斤/公顷)。基因型SIK 442-2-2被确定为适应更广泛环境的基因型,因此推荐在马里种植。野生稻衍生基因型DKA 42、DKA- m50和DKA 37表现出产量低、稳定性高的特点。这些基因型更适合培育特定性状。分析还发现,ARS 100-5-1-B、K150849和K150810产量低,稳定性差。GGE双标图描述了用于基因型评估的测试环境中存在的三个巨型环境,并揭示了巨型环境的性质。基于此,测试环境可以分为三个不同的大环境。将selingu 2号、selingu 1号、Manikoura、Mopti和San 4个环境归为同一大环境,并确定种间系SIK 442-2-2为该大环境中表现最好的候选基因型。Kadiolo和Longorola归为同一大环境,而check品种是该大环境的候选基因型。在巴奎内达巨型环境中,K150014被鉴定为表现最好的基因型。
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