布马拉和马塞诺酸性土壤耐低磷玉米单交筛选

O. E. Olung’ati, S. Gudu, E. Ouma, J. Ochuodgo, O. Kiplagat
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摘要

一般来说,肯尼亚13%的可耕地(750万公顷)是酸性的,容易出现磷(P)有效性差和土壤酸性。由于铝中毒和磷元素在土壤中的固定而导致的缺磷,直接造成了作物产量损失。本研究的目的是根据北卡罗莱纳II型玉米的配种设计,通过杂交培育和选择磷高效玉米单交组合。采用完全随机区组设计,在布马拉和马塞诺的酸性土壤中筛选了60个玉米基因型,其中34个单杂交。这些单杂交中67%是有效的,而33%是无效的。2%有效率且有反应,14%有效率但有反应,79%有效率但无反应。总体上,穗长与EH(0.45)、PH(0.61)呈正相关,单交PH与EH呈正相关(r = 0.86)。在布马拉和马塞诺,P的添加对籽粒产量、株高、穗高和开花均有显著影响。然而,与Bumala相比,在Maseno, 26 kgP/ha的效果是微不足道的。位点和基因型在土壤分析和粮食产量方面分别存在显著差异,选择高效和响应型基因型用于低投入农业系统。此外,一些高效但无响应的品系也可以选择用于低投入农业。
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Screening Selected Maize Single Crosses for Tolerance to Low P in Acidic Soils of Bumala and Maseno
Generally, 13% of Kenya’s arable land mass (7.5 million ha) is acidic and prone to poor phosphorus (P) availability and soil acidity. This results in crop yield losses due to the direct adverse effects Aluminium toxicity and P deficiency due to fixation of this element in the soil. The objective of this study was to develop and select P efficient maize single crosses developed by crossing as per North Carolina II mating design. Sixty maize genotypes, among them 34 single crosses were screened under acidic soils in Bumala and Maseno in a randomised complete block design. Sixty-seven percent of these single crosses were efficient, while 33% were inefficient. Two percent were efficient and responsive, 14% were inefficient but responsive, and the 79% were efficient but non-responsive. Generally, GY had a positive correlation with EH (0.45) and PH (0.61), while PH and EH had a positive correlation (r = 0.86) for the single crosses. The addition of P had significant effect on the grain yield, plant height, ear height and flowering of the genotypes at Bumala and Maseno. However, the effect of 26 kgP/ha was marginal at Maseno as compared to Bumala. The sites and genotypes varied significantly with regard to soil analysis and grain yield respectively, with the efficient and responsive genotypes selected for use in low input farming systems. Also, some of the efficient but non-responsive lines can also be selected for low input farming.
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