Response of yam varieties to soil moisture regime in Southwestern Nigeria

IF 1.6 4区 农林科学 Q2 AGRONOMY
A. Eruola
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引用次数: 1

Abstract

A field experiment was conducted on varietal response of white yam to moisture regime in Abeokuta. The experiment comprised three varieties of yam (Efuru, Ise-osi and Oniyere), three mulching options (grass, polythene and unmulched), and two planting dates (early and late). Treatments were replicated three times using RCBD lay-out. Model for selecting planting date involved relating potential evapotranspiration (PE) to precipitation (P) in the form of 0.1PE

PE, the physiological parameters and moisture agro-climatic indices measured during phenological stages of yam grown were analyzed with respect to treatments. Result showed that T1 defined as Σ(P-0.1PE) ≤ 10 mm appeared as the best model that significantly (P < 0.05) influenced emergence rate, phenological growth and tuber yield. All yam varieties evaluated were suitable for planting with respect to yield. Efuru and Ise-osi synchronized perfectly with Actual Water Availability and produced good vegetative growth with LAI of 1.08 and 0.91 leading to higher tuber yield of 12 and 11.64 tonnes ha-1, respectively. Grass mulch had tuber yield, 4-6 tonnes ha-1greater than the polythene and unmulched plots in all varieties. Mulching significantly (P< 0.05) increased tuber yield, 6-8 tonnes ha-1than the unmulched. Conclusively, early planting with grass mulch increased tuber yield.

尼日利亚西南部不同品种对土壤水分状况的响应
在Abeokuta进行了白薯品种对水分状况的田间试验。试验包括三个品种的yam(Efuru、Ise-osi和Oniyere)、三种覆盖选择(草、聚乙烯和未覆盖)和两种种植日期(早和晚)。使用RCBD布局重复处理三次。选择种植日期的模型包括将潜在蒸散量(PE)与降水量(P)以0.1PE PE PE的形式联系起来,分析了在不同处理下生长的甘薯的生理参数和水分农业气候指标。结果表明,T1定义为∑(P-0.1PE)≤10mm是影响出苗率、根系生长和块茎产量的最佳模型(P<0.05)。就产量而言,评估的所有山药品种都适合种植。Efuru和Ise-osi与实际水分利用率完全同步,并产生良好的营养生长,LAI分别为1.08和0.91,从而使块茎产量分别提高12和11.64吨ha-1。在所有品种中,草覆盖的块茎产量比聚乙烯和未覆盖的地块高4-6吨ha-1。覆盖显著提高块茎产量(P<0.05),比未覆盖增加6-8吨ha-1。总之,早播覆盖草提高了块茎产量。
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来源期刊
CiteScore
2.10
自引率
8.30%
发文量
6
期刊介绍: Among the areas of specific interest of the journal there are: ecophysiology; phenology; plant growth, quality and quantity of production; plant pathology; entomology; welfare conditions of livestocks; soil physics and hydrology; micrometeorology; modeling, simulation and forecasting; remote sensing; territorial planning; geographical information systems and spatialization techniques; instrumentation to measure physical and biological quantities; data validation techniques, agroclimatology; agriculture scientific dissemination; support services for farmers.
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