Alkali stress can cause severe crop damage and reduce production. However, physiological processes involved in alkali stress in oat seedlings are not well understood. In this study, physiological responses and yield o...Alkali stress can cause severe crop damage and reduce production. However, physiological processes involved in alkali stress in oat seedlings are not well understood. In this study, physiological responses and yield of oat to alkali stress were studied using the alkali-tolerant oat genotype Vao-9 and the alkali-sensitive oat genotype Baiyan 5. The results were： （i） low concentrations of alkali stress （25 and 50 mmol L^-1） significantly reduced the yield and grain weight while increased the oat grain number per spike. A negative correlation between yield and malondialdehyde （MDA） content at the jointing and grain filling stages and positive correlations between yield on one hand and superoxide dismutase （SOD）, and peroxidase （POD） activities on the other at the jointing stage were observed. There was a positive correlation between MDA and soluble sugar at the grain filling stage; （ii） soluble sugar content was increased at the jointing and grain filling stages and decreased at the heading stage by alkali stress; （iii） alkali stress increased the SOD activity during the heading and grain filling stages, and increased the POD activity at the heading stage. As compared to the control, the increase of MDA contents in alkali-treated oat was observed, during the jointing, heading and grain filling stages; （iv） under alkali stress, the oat genotype Vao-9 showed higher antioxidant enzyme activity and lower soluble sugar contents during the heading stage, and lower MDA contents than those in the oat genotype Baiyan 5 under alkali stress. The result suggested that the high ROS scavenging capacity and soluble sugar levels might play roles in oat response to alkali stress,展开更多
Sugar beet（Beta vulgaris L.） is an industrial crop, grown worldwide for sugar production. In Pakistan, sugar is mostly extracted from sugarcane, soil and environmental conditions are equally favorable for sugar beet...Sugar beet（Beta vulgaris L.） is an industrial crop, grown worldwide for sugar production. In Pakistan, sugar is mostly extracted from sugarcane, soil and environmental conditions are equally favorable for sugar beet cultivation. Beet sugar contents are higher than sugarcane sugar contents, which can be further increased by potassium（K） fertilization. Total K concentration is higher in Pakistani soils developed from mica minerals, but it does not represent plant available K for sustainable plant growth. A pot experiment was conducted in the wire-house of Institute of Soil and Environmental Sciences at University of Agriculture Faisalabad, Pakistan. K treatments were the following： no K（K_0）, K application at 148 kg ha^（–1）（K_1） and 296 kg ha^（–1）（K_2）. Irrigation levels were used as water sufficient at 60% water holding capacity and water deficient at 40% water holding capacity. The growth, yield and beet quality data were analyzed statistically using LSD. The results revealed that increase in the level of K fertilization at water sufficient level significantly increased plant growth, beet yield and industrial beet sugar content. The response of K fertilization under water deficient condition was also similar, however overall sugar production was less than that in water sufficient conditions. It is concluded from this study that K application could be used not only to enhance plant growth and beet yield but also enhance beet sugar content both under water-deficient as well as water-sufficient conditions.展开更多
The paper was to understand the major factors causing outbreak of sugarcane pokahh boeng and the losses of yield and sugar content.The occurrence dynamics and influencing factors of pokahh boeng were analyzed.Under na...The paper was to understand the major factors causing outbreak of sugarcane pokahh boeng and the losses of yield and sugar content.The occurrence dynamics and influencing factors of pokahh boeng were analyzed.Under natural field condition,the diseased plant rate of main cultivated varieties was investigated in the damaged area and undamaged area established in the same field,and sugarcane yield and sugar content were measured and their losses were calculated at harvest period.The results showed that the prevalence of pokkah boeng mainly attributed to cultivation of susceptible varieties,high temperature and high humidity climate,accumulation of the pathogen and improper cultivation and management measures.Survey data showed the diseased plant rates were 63.3%-95%,with an average of 81.1%; the yield loss rates were 30.2%-48.5%,with an average of 38.42%; the sugar content were reduced by 2.63%-5.21%,with an average of3.61%; the sugarcane juice brix were dropped by 2.4-4.69 ° BX,3.61° BX on average; the gravity purities of sugarcane juice were decreased by 1.99%-8.14%,4.83% on average; the reducing sugars of sugarcane juice were increased by 0.05%-0.6%,0.16% on average.It is confirmed that the occurrence and damage of sugarcane pokkah boeng is severe at present stage,leading to huge loss of sugarcane yields and sugar content.Sugarcane pokkah boeng has become one of the main barriers of sugarcane production,and scientific and effective prevention and control of sugarcane pokkah boeng is very important for sustainable development of sugar industry.展开更多
To study the relations of certain morphological and sugar quality characters with sugarcane yield, an experiment was conducted at Wonji and Metehara Sugar Estates, Ethiopia between March 2012 and October 2013. The exp...To study the relations of certain morphological and sugar quality characters with sugarcane yield, an experiment was conducted at Wonji and Metehara Sugar Estates, Ethiopia between March 2012 and October 2013. The experiment, comprising of 400 sugarcane genotypes of which 174 were local that were collected from different regional states of Ethiopia and 226 introduced, was laid out in partial balanced lattice design with two replications. Data was collected on cane yield and its components, sugar yield and sugar quality traits. ANOVA, correlation and path coefficient analysis were done. Analysis of variance revealed significant differences (P < 0.01) for all the characters studied. Cane yield showed strong positive and highly significant (P < 0.01) correlation with millable cane number (r = 0.832), single cane weight (r = 0.528), stalk height (r = 0.517) and sugar yield (r = 0.987). There was also positive significant (P = 0.05) correlation of tiller count and cane diameter with cane yield. Path analysis revealed the highest positive direct effect of millable cane number (0.812) on cane yield followed by single cane weight (0.682) and pol percent (0.550). However, stalk diameter and brix percent had considerable negative direct effects and indirect positive effects through single cane weight on cane yield. Therefore, in view of their significant positive association with cane yield, indirect effects of stalk diameter and brix percent via single cane weight should be considered during selection. Genotypes should be selected on the basis of millable cane number, single cane weight and pol percent for getting higher cane and sugar yield.展开更多
Accurate pre-harvest prediction of sugar beet yield is vital for effective agricultural management and decision-making.However,traditional methods are constrained by reliance on empirical knowledge,time-consuming proc...Accurate pre-harvest prediction of sugar beet yield is vital for effective agricultural management and decision-making.However,traditional methods are constrained by reliance on empirical knowledge,time-consuming processes,resource intensiveness,and spatial-temporal variability in prediction accuracy.This study presented a plot-level approach that leverages UAV technology and recurrent neural networks to provide field yield predictions within the same growing season,addressing a significant gap in previous research that often focuses on regional scale predictions relied on multi-year history datasets.End-of-season yield and quality parameters were forecasted using UAV-derived time series data and meteorological factors collected at three critical growth stages,providing a timely and practical tool for farm management.Two years of data covering 185 sugar beet varieties were used to train a developed stacked Long Short-Term Memory(LSTM)model,which was compared with traditional machine learning approaches.Incorporating fresh weight estimates of aboveground and root biomass as predictive factors significantly enhanced prediction accuracy.Optimal performance in prediction was observed when utilizing data from all three growth periods,with R^(2)values of 0.761(rRMSE=7.1%)for sugar content,0.531(rRMSE=22.5%)for root yield,and 0.478(rRMSE=23.4%)for sugar yield.Furthermore,combining data from the first two growth periods shows promising results for making the predictions earlier.Key predictive features identified through the Permutation Importance(PIMP)method provided insights into the main factors influencing yield.These findings underscore the potential of using UAV time-series data and recurrent neural networks for accurate pre-harvest yield prediction at the field scale,supporting timely and precise agricultural decisions.展开更多
基金supported by the National Natural Science Foundation of China(31060174,30660084)the Natural Science Foundation of Inner Mongolia,China(2010ZD07,200607010301)+1 种基金the Technology System of Agricultural Industry of China(CARS-08-B-5)the Item of Science Innovation Team of Inner Mongolia Agricultural University(NDTD2010-8)
文摘Alkali stress can cause severe crop damage and reduce production. However, physiological processes involved in alkali stress in oat seedlings are not well understood. In this study, physiological responses and yield of oat to alkali stress were studied using the alkali-tolerant oat genotype Vao-9 and the alkali-sensitive oat genotype Baiyan 5. The results were： （i） low concentrations of alkali stress （25 and 50 mmol L^-1） significantly reduced the yield and grain weight while increased the oat grain number per spike. A negative correlation between yield and malondialdehyde （MDA） content at the jointing and grain filling stages and positive correlations between yield on one hand and superoxide dismutase （SOD）, and peroxidase （POD） activities on the other at the jointing stage were observed. There was a positive correlation between MDA and soluble sugar at the grain filling stage; （ii） soluble sugar content was increased at the jointing and grain filling stages and decreased at the heading stage by alkali stress; （iii） alkali stress increased the SOD activity during the heading and grain filling stages, and increased the POD activity at the heading stage. As compared to the control, the increase of MDA contents in alkali-treated oat was observed, during the jointing, heading and grain filling stages; （iv） under alkali stress, the oat genotype Vao-9 showed higher antioxidant enzyme activity and lower soluble sugar contents during the heading stage, and lower MDA contents than those in the oat genotype Baiyan 5 under alkali stress. The result suggested that the high ROS scavenging capacity and soluble sugar levels might play roles in oat response to alkali stress,
文摘Sugar beet（Beta vulgaris L.） is an industrial crop, grown worldwide for sugar production. In Pakistan, sugar is mostly extracted from sugarcane, soil and environmental conditions are equally favorable for sugar beet cultivation. Beet sugar contents are higher than sugarcane sugar contents, which can be further increased by potassium（K） fertilization. Total K concentration is higher in Pakistani soils developed from mica minerals, but it does not represent plant available K for sustainable plant growth. A pot experiment was conducted in the wire-house of Institute of Soil and Environmental Sciences at University of Agriculture Faisalabad, Pakistan. K treatments were the following： no K（K_0）, K application at 148 kg ha^（–1）（K_1） and 296 kg ha^（–1）（K_2）. Irrigation levels were used as water sufficient at 60% water holding capacity and water deficient at 40% water holding capacity. The growth, yield and beet quality data were analyzed statistically using LSD. The results revealed that increase in the level of K fertilization at water sufficient level significantly increased plant growth, beet yield and industrial beet sugar content. The response of K fertilization under water deficient condition was also similar, however overall sugar production was less than that in water sufficient conditions. It is concluded from this study that K application could be used not only to enhance plant growth and beet yield but also enhance beet sugar content both under water-deficient as well as water-sufficient conditions.
基金Supported by Special Fund for China Agricultural Industry Research System(CARS-170303)Special Fund for Agricultural Industry Research System of Yunnan Province(YNGZTX-4-92)
文摘The paper was to understand the major factors causing outbreak of sugarcane pokahh boeng and the losses of yield and sugar content.The occurrence dynamics and influencing factors of pokahh boeng were analyzed.Under natural field condition,the diseased plant rate of main cultivated varieties was investigated in the damaged area and undamaged area established in the same field,and sugarcane yield and sugar content were measured and their losses were calculated at harvest period.The results showed that the prevalence of pokkah boeng mainly attributed to cultivation of susceptible varieties,high temperature and high humidity climate,accumulation of the pathogen and improper cultivation and management measures.Survey data showed the diseased plant rates were 63.3%-95%,with an average of 81.1%; the yield loss rates were 30.2%-48.5%,with an average of 38.42%; the sugar content were reduced by 2.63%-5.21%,with an average of3.61%; the sugarcane juice brix were dropped by 2.4-4.69 ° BX,3.61° BX on average; the gravity purities of sugarcane juice were decreased by 1.99%-8.14%,4.83% on average; the reducing sugars of sugarcane juice were increased by 0.05%-0.6%,0.16% on average.It is confirmed that the occurrence and damage of sugarcane pokkah boeng is severe at present stage,leading to huge loss of sugarcane yields and sugar content.Sugarcane pokkah boeng has become one of the main barriers of sugarcane production,and scientific and effective prevention and control of sugarcane pokkah boeng is very important for sustainable development of sugar industry.
文摘To study the relations of certain morphological and sugar quality characters with sugarcane yield, an experiment was conducted at Wonji and Metehara Sugar Estates, Ethiopia between March 2012 and October 2013. The experiment, comprising of 400 sugarcane genotypes of which 174 were local that were collected from different regional states of Ethiopia and 226 introduced, was laid out in partial balanced lattice design with two replications. Data was collected on cane yield and its components, sugar yield and sugar quality traits. ANOVA, correlation and path coefficient analysis were done. Analysis of variance revealed significant differences (P < 0.01) for all the characters studied. Cane yield showed strong positive and highly significant (P < 0.01) correlation with millable cane number (r = 0.832), single cane weight (r = 0.528), stalk height (r = 0.517) and sugar yield (r = 0.987). There was also positive significant (P = 0.05) correlation of tiller count and cane diameter with cane yield. Path analysis revealed the highest positive direct effect of millable cane number (0.812) on cane yield followed by single cane weight (0.682) and pol percent (0.550). However, stalk diameter and brix percent had considerable negative direct effects and indirect positive effects through single cane weight on cane yield. Therefore, in view of their significant positive association with cane yield, indirect effects of stalk diameter and brix percent via single cane weight should be considered during selection. Genotypes should be selected on the basis of millable cane number, single cane weight and pol percent for getting higher cane and sugar yield.
基金supported by the Science and Technology projects Inner Mongolia(Grant No.2019ZD024)National Center of Pratacultural Technology Innovation(under preparation)Special fund for innovation platform construction(CCPTZX2023K03).
文摘Accurate pre-harvest prediction of sugar beet yield is vital for effective agricultural management and decision-making.However,traditional methods are constrained by reliance on empirical knowledge,time-consuming processes,resource intensiveness,and spatial-temporal variability in prediction accuracy.This study presented a plot-level approach that leverages UAV technology and recurrent neural networks to provide field yield predictions within the same growing season,addressing a significant gap in previous research that often focuses on regional scale predictions relied on multi-year history datasets.End-of-season yield and quality parameters were forecasted using UAV-derived time series data and meteorological factors collected at three critical growth stages,providing a timely and practical tool for farm management.Two years of data covering 185 sugar beet varieties were used to train a developed stacked Long Short-Term Memory(LSTM)model,which was compared with traditional machine learning approaches.Incorporating fresh weight estimates of aboveground and root biomass as predictive factors significantly enhanced prediction accuracy.Optimal performance in prediction was observed when utilizing data from all three growth periods,with R^(2)values of 0.761(rRMSE=7.1%)for sugar content,0.531(rRMSE=22.5%)for root yield,and 0.478(rRMSE=23.4%)for sugar yield.Furthermore,combining data from the first two growth periods shows promising results for making the predictions earlier.Key predictive features identified through the Permutation Importance(PIMP)method provided insights into the main factors influencing yield.These findings underscore the potential of using UAV time-series data and recurrent neural networks for accurate pre-harvest yield prediction at the field scale,supporting timely and precise agricultural decisions.
