Climate variability as occasioned by conditions such as extreme rainfall and temperature, rainfall cessation, and irregular temperatures has considerable impact on crop yield and food security. This study develops a p...Climate variability as occasioned by conditions such as extreme rainfall and temperature, rainfall cessation, and irregular temperatures has considerable impact on crop yield and food security. This study develops a predictive model for cassava yield (Manihot esculenta Crantz) amidst climate variability in rainfed zone of Enugu State, Nigeria. This study utilized data of climate variables and tonnage of cassava yield spanning from 1971 to 2012;as well as information from a questionnaire and focus group discussion from farmers across two seasons in 2023 respectively. Regression analysis was employed to develop the predictive model equation for seasonal climate variability and cassava yield. The rainfall and temperature anomalies, decadal change in trend of cassava yield and opinion of farmers on changes in rainfall season were also computed in the study. The result shows the following relationship between cassava and all the climatic variables: R2 = 0.939;P = 0.00514;Cassava and key climatic variables: R2 = 0.560;P = 0.007. The result implies that seasonal rainfall, temperature, relative humidity, sunshine hours and radiation parameters are key climatic variables in cassava production. This is supported by computed rainfall and temperature anomalies which range from −478.5 to 517.8 mm as well as −1.2˚C to 2.3˚C over the years. The questionnaire and focus group identified that farmers experienced at one time or another, late onset of rain, early onset of rain or rainfall cessation over the years. The farmers are not particularly sure of rainfall and temperature characteristics at any point in time. The implication of the result of this study is that rainfall and temperature parameters determine the farming season and quantity of productivity. Hence, there is urgent need to address the situation through effective and quality weather forecasting network which will help stem food insecurity in the study area and Nigeria at large. The study made recommendations such as a comprehensive early warning system on climate variability incidence which can be communicated to local farmers by agro-meteorological extension officers, research on crops that can grow with little or no rain, planning irrigation scheme, and improving tree planting culture in the study area.展开更多
RXam1(Resistance to Xam 1,RXam1)是一种编码受体样激酶RLK的基因,其超表达可增强木薯对木薯细菌性枯萎病的抗性。为了解RXam1在木薯抗病中的调控网络,通过生物信息分析发现,MeRXam1是稳定的疏水性蛋白,含有2个跨膜结构域和1个信号肽,...RXam1(Resistance to Xam 1,RXam1)是一种编码受体样激酶RLK的基因,其超表达可增强木薯对木薯细菌性枯萎病的抗性。为了解RXam1在木薯抗病中的调控网络,通过生物信息分析发现,MeRXam1是稳定的疏水性蛋白,含有2个跨膜结构域和1个信号肽,磷酸化位点得分高于0.8的有24个。MeRXam1在木薯的叶、叶柄、茎、易碎胚性愈伤组织、根尖分生组织、须根、侧芽以及组织化胚性结构等8个组织中均有表达,进化树分析发现,MeRXam1与橡胶树的蛋白同源性最高。其次,将MeRXam1基因克隆至酵母相关表达载体中,并与木薯pGBKT7文库共转化酵母AH109细胞,通过酵母双杂交技术筛选MeRXam1的互作蛋白,共获得10个阳性克隆并送测序,进一步明确互作的蛋白。其中,互作蛋白MeCRF5编码一个AP2/ERF转录因子超家族中DREB亚家族的RAP2.4蛋白,并通过酵母双杂交技术、双分子荧光互补实验验证了MeRXam1与MeCRF5的相互作用。展开更多
文摘Climate variability as occasioned by conditions such as extreme rainfall and temperature, rainfall cessation, and irregular temperatures has considerable impact on crop yield and food security. This study develops a predictive model for cassava yield (Manihot esculenta Crantz) amidst climate variability in rainfed zone of Enugu State, Nigeria. This study utilized data of climate variables and tonnage of cassava yield spanning from 1971 to 2012;as well as information from a questionnaire and focus group discussion from farmers across two seasons in 2023 respectively. Regression analysis was employed to develop the predictive model equation for seasonal climate variability and cassava yield. The rainfall and temperature anomalies, decadal change in trend of cassava yield and opinion of farmers on changes in rainfall season were also computed in the study. The result shows the following relationship between cassava and all the climatic variables: R2 = 0.939;P = 0.00514;Cassava and key climatic variables: R2 = 0.560;P = 0.007. The result implies that seasonal rainfall, temperature, relative humidity, sunshine hours and radiation parameters are key climatic variables in cassava production. This is supported by computed rainfall and temperature anomalies which range from −478.5 to 517.8 mm as well as −1.2˚C to 2.3˚C over the years. The questionnaire and focus group identified that farmers experienced at one time or another, late onset of rain, early onset of rain or rainfall cessation over the years. The farmers are not particularly sure of rainfall and temperature characteristics at any point in time. The implication of the result of this study is that rainfall and temperature parameters determine the farming season and quantity of productivity. Hence, there is urgent need to address the situation through effective and quality weather forecasting network which will help stem food insecurity in the study area and Nigeria at large. The study made recommendations such as a comprehensive early warning system on climate variability incidence which can be communicated to local farmers by agro-meteorological extension officers, research on crops that can grow with little or no rain, planning irrigation scheme, and improving tree planting culture in the study area.
文摘RXam1(Resistance to Xam 1,RXam1)是一种编码受体样激酶RLK的基因,其超表达可增强木薯对木薯细菌性枯萎病的抗性。为了解RXam1在木薯抗病中的调控网络,通过生物信息分析发现,MeRXam1是稳定的疏水性蛋白,含有2个跨膜结构域和1个信号肽,磷酸化位点得分高于0.8的有24个。MeRXam1在木薯的叶、叶柄、茎、易碎胚性愈伤组织、根尖分生组织、须根、侧芽以及组织化胚性结构等8个组织中均有表达,进化树分析发现,MeRXam1与橡胶树的蛋白同源性最高。其次,将MeRXam1基因克隆至酵母相关表达载体中,并与木薯pGBKT7文库共转化酵母AH109细胞,通过酵母双杂交技术筛选MeRXam1的互作蛋白,共获得10个阳性克隆并送测序,进一步明确互作的蛋白。其中,互作蛋白MeCRF5编码一个AP2/ERF转录因子超家族中DREB亚家族的RAP2.4蛋白,并通过酵母双杂交技术、双分子荧光互补实验验证了MeRXam1与MeCRF5的相互作用。
