北里海干旱条件下冬季小黑麦品种的适应潜力

Valentina Aleksandrovna Fedorova
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引用次数: 0

摘要

2020-2022年,在阿斯特拉罕地区西北部的半沙漠地带,在俄罗斯科学院里海前干旱联邦科学中心的旱地进行了有前途的冬季小黑麦品种的农业生态品种试验研究。研究的目的是确定冬季小黑麦高产品种在里海北部干旱条件下种植的适应性参数。作品中国产选种有5个品种(Testament、Zimogor、prak -152、Sergius和Forte)。记录、观察和分析是根据国家审计局的方法进行的,统计处理采用了B.A.多斯佩霍夫的方法;采用e.berhart和W.A. Russell的方法计算适应性参数,由V.A. Zykin等人提出。本文给出了所研究品种在不同湿度年份的适应性参数:回归系数(bi)、方差(HCP05)、抗逆性(Ymin - Ymax)、遗传柔韧性(Ymax+Ymin)/2)、稳定性(S2i)。根据品种在不同气象生长条件下的表现,确定了一个具有较高遗传灵活性(2.57)、高产(2.64 t/ha)的冬季小黑麦品种。选择的Forte品种具有良好的可塑性(线性回归系数在1 - 1.13以上)和遗传稳定性(S2i = 0.006),可推荐用于北里海半沙漠干旱条件下的工业栽培。
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Adaptive potential of winter triticale varieties in arid conditions of the Northern Caspian
In the semi-desert zone of the north-west of the Astrakhan region in 2020-2022, studies on agroecological variety testing of promising winter triticale varieties were conducted on the rainfed field of the Pre-Caspian Arid Federal Scientific Center of the Russian Academy of Sciences. The purpose of the research is to determine the parameters of adaptability of highly productive varieties of winter triticale for cultivation in arid conditions of the Northern Caspian Sea. There were five varieties of domestic selection in the work (Testament, Zimogor, PRAG-152, Sergius and Forte). Records, observations and analyses were carried out according to the methodology of the State Audit, the methodology of B.A. Dospekhov was used for statistical processing; the methodology of S.A. Eberhart and W.A. Russell was used to calculate the parameters of adaptability, as presented by V.A. Zykin and others. The article presents the parameters of adaptability of the studied varieties in years with varying degrees of moisture: regression coefficient (bi), variance (HCP05), stress resistance (Ymin - Ymax), genetic flexibility (Ymax+Ymin)/2), stability (S2i). Depending on the behavior of varieties in various meteorological growing conditions, a promising high-yielding (2.64 t/ha) winter triticale Forte variety with high genetic flexibility (2.57) was identified. The selected Forte variety has good plasticity (the linear regression coefficient is above one - 1.13) and genetic stability (S2i = 0.006), therefore it can be recommended for industrial cultivation in difficult arid conditions of the semi-desert of the Northern Caspian.
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