Carolina Vázque Chun, Gabriel de Jesús Peña Uribe, Armando López Santos, Antonio de Jesús Meraz Jiménez
Castor bean plants yield commercially important oilseeds with multiple uses; they are characterised by tolerance to drought and adaptation to marginal soils in arid and semi-arid regions. In northern Mexico, a large amount of arid land is categorised as “ejidos”: a system of mixed land ownership managed under a specific legal system, where land users have access to common or individual (parcelled) land. This work aimed to examine the suitability of castor bean cultivation on unused marginal land in ejido land. To determine the environmental suitability of the ejido lands of Coahuila, Mexico, we adapted a land Productivity Index (PI) from an existing method; it consisted of a set of biophysical indicators (edaphic factors, climate, and topography) adapted to castor bean cultivation. We then complemented this index with a “cultural component”, assessing the ethnobotanical knowledge of the people, their willingness to implement a new crop type, and the type and current use of the land. As a result, we found that 114,300 ha of ejido land (1.76% of the total) were very suitable for castor bean cultivation according to the Environmental-PI and that 808,524 ha of ejido land (12.4% of the total) was very suitable according to the Cultural-PI. We also hypothesised that the willingness of “ejidatarios” to cultivate castor beans was related to their degree of knowledge about the plant and the land available for its cultivation; however, their willingness was mostly related to differences in land tenure: “ejidatarios” who own parcelled land were more interested in obtaining benefits from the land through the implementation of novel crops, compared to those who only have access to common land. Highlights • In Mexico, the “ejido” is a unique land ownership and management system where users have access to common or individual (parcelled) land. • According to our Environmental Productivity Index, 114,300 ha of ejido land in Coahuila, México, were very suitable for castor bean cultivation. • This index was complemented with a “cultural component” gauging the people’s perception and willingness to introduce castor bean as a new crop. • 808,524 ha (12.4%) of ejido land were very suitable for castor bean cultivation according to the cultural component of our index. • Differences in land tenure most strongly influence the willingness of the ejido people to cultivate castor beans.
{"title":"An index of environmental and cultural suitability for the cultivation of climate-resilient castor bean in rainfed low-productivity common lands in Mexico","authors":"Carolina Vázque Chun, Gabriel de Jesús Peña Uribe, Armando López Santos, Antonio de Jesús Meraz Jiménez","doi":"10.4081/ija.2022.2107","DOIUrl":"https://doi.org/10.4081/ija.2022.2107","url":null,"abstract":"Castor bean plants yield commercially important oilseeds with multiple uses; they are characterised by tolerance to drought and adaptation to marginal soils in arid and semi-arid regions. In northern Mexico, a large amount of arid land is categorised as “ejidos”: a system of mixed land ownership managed under a specific legal system, where land users have access to common or individual (parcelled) land. This work aimed to examine the suitability of castor bean cultivation on unused marginal land in ejido land. To determine the environmental suitability of the ejido lands of Coahuila, Mexico, we adapted a land Productivity Index (PI) from an existing method; it consisted of a set of biophysical indicators (edaphic factors, climate, and topography) adapted to castor bean cultivation. We then complemented this index with a “cultural component”, assessing the ethnobotanical knowledge of the people, their willingness to implement a new crop type, and the type and current use of the land. As a result, we found that 114,300 ha of ejido land (1.76% of the total) were very suitable for castor bean cultivation according to the Environmental-PI and that 808,524 ha of ejido land (12.4% of the total) was very suitable according to the Cultural-PI. We also hypothesised that the willingness of “ejidatarios” to cultivate castor beans was related to their degree of knowledge about the plant and the land available for its cultivation; however, their willingness was mostly related to differences in land tenure: “ejidatarios” who own parcelled land were more interested in obtaining benefits from the land through the implementation of novel crops, compared to those who only have access to common land.\u0000Highlights • In Mexico, the “ejido” is a unique land ownership and management system where users have access to common or individual (parcelled) land. • According to our Environmental Productivity Index, 114,300 ha of ejido land in Coahuila, México, were very suitable for castor bean cultivation. • This index was complemented with a “cultural component” gauging the people’s perception and willingness to introduce castor bean as a new crop. • 808,524 ha (12.4%) of ejido land were very suitable for castor bean cultivation according to the cultural component of our index. • Differences in land tenure most strongly influence the willingness of the ejido people to cultivate castor beans.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42701781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carolina Vázque Chun, Gabriel de Jesús Peña Uribe, Armando López Santos, Antonio de Jesús Meraz Jiménez
Castor bean plants yield commercially important oilseeds with multiple uses; they are characterised by tolerance to drought and adaptation to marginal soils in arid and semi-arid regions. In northern Mexico, a large amount of arid land is categorised as “ejidos”: a system of mixed land ownership managed under a specific legal system, where land users have access to common or individual (parcelled) land. This work aimed to examine the suitability of castor bean cultivation on unused marginal land in ejido land. To determine the environmental suitability of the ejido lands of Coahuila, Mexico, we adapted a land Productivity Index (PI) from an existing method; it consisted of a set of biophysical indicators (edaphic factors, climate, and topography) adapted to castor bean cultivation. We then complemented this index with a “cultural component”, assessing the ethnobotanical knowledge of the people, their willingness to implement a new crop type, and the type and current use of the land. As a result, we found that 114,300 ha of ejido land (1.76% of the total) were very suitable for castor bean cultivation according to the Environmental-PI and that 808,524 ha of ejido land (12.4% of the total) was very suitable according to the Cultural-PI. We also hypothesised that the willingness of “ejidatarios” to cultivate castor beans was related to their degree of knowledge about the plant and the land available for its cultivation; however, their willingness was mostly related to differences in land tenure: “ejidatarios” who own parcelled land were more interested in obtaining benefits from the land through the implementation of novel crops, compared to those who only have access to common land. Highlights • In Mexico, the “ejido” is a unique land ownership and management system where users have access to common or individual (parcelled) land. • According to our Environmental Productivity Index, 114,300 ha of ejido land in Coahuila, México, were very suitable for castor bean cultivation. • This index was complemented with a “cultural component” gauging the people’s perception and willingness to introduce castor bean as a new crop. • 808,524 ha (12.4%) of ejido land were very suitable for castor bean cultivation according to the cultural component of our index. • Differences in land tenure most strongly influence the willingness of the ejido people to cultivate castor beans.
{"title":"An index of environmental and cultural suitability for the cultivation of climate-resilient castor bean in rainfed low-productivity common lands in Mexico","authors":"Carolina Vázque Chun, Gabriel de Jesús Peña Uribe, Armando López Santos, Antonio de Jesús Meraz Jiménez","doi":"10.4081/ija.2023.2107","DOIUrl":"https://doi.org/10.4081/ija.2023.2107","url":null,"abstract":"Castor bean plants yield commercially important oilseeds with multiple uses; they are characterised by tolerance to drought and adaptation to marginal soils in arid and semi-arid regions. In northern Mexico, a large amount of arid land is categorised as “ejidos”: a system of mixed land ownership managed under a specific legal system, where land users have access to common or individual (parcelled) land. This work aimed to examine the suitability of castor bean cultivation on unused marginal land in ejido land. To determine the environmental suitability of the ejido lands of Coahuila, Mexico, we adapted a land Productivity Index (PI) from an existing method; it consisted of a set of biophysical indicators (edaphic factors, climate, and topography) adapted to castor bean cultivation. We then complemented this index with a “cultural component”, assessing the ethnobotanical knowledge of the people, their willingness to implement a new crop type, and the type and current use of the land. As a result, we found that 114,300 ha of ejido land (1.76% of the total) were very suitable for castor bean cultivation according to the Environmental-PI and that 808,524 ha of ejido land (12.4% of the total) was very suitable according to the Cultural-PI. We also hypothesised that the willingness of “ejidatarios” to cultivate castor beans was related to their degree of knowledge about the plant and the land available for its cultivation; however, their willingness was mostly related to differences in land tenure: “ejidatarios” who own parcelled land were more interested in obtaining benefits from the land through the implementation of novel crops, compared to those who only have access to common land. Highlights • In Mexico, the “ejido” is a unique land ownership and management system where users have access to common or individual (parcelled) land. • According to our Environmental Productivity Index, 114,300 ha of ejido land in Coahuila, México, were very suitable for castor bean cultivation. • This index was complemented with a “cultural component” gauging the people’s perception and willingness to introduce castor bean as a new crop. • 808,524 ha (12.4%) of ejido land were very suitable for castor bean cultivation according to the cultural component of our index. • Differences in land tenure most strongly influence the willingness of the ejido people to cultivate castor beans.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136357277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study looked into the relationship and effects of agricultural activities in different regions of Turkey on climate change. This study aims to determine farmer awareness of climate change and its effects, as well as farmer adaptation capabilities in different regions of Turkey against climate change, and to develop extension and policy tools based on the findings. Data were collected through face-to-face surveys with farmers in the provinces where the research was conducted. In this context, a proportional sampling survey of 418 farmers was conducted. The collected information was subjected to factor analysis and the independent t-test. According to the findings, farmers associate climate change with precipitation, and the effect of precipitation and the risks it poses in increasing or decreasing crop yields are of particular concern. Farmers in the Southeastern Anatolia Region are more concerned about heat and drought than farmers in the Mediterranean Region. Furthermore, producers believe that human-caused factors and economic development have a greater impact on climate change than agricultural activities. Farmers in research areas are concerned that climate change will increase migration from rural areas and the decline of forests and animal species. As a result, raising individual awareness and utilising new technology in rural areas is critical. Farmers’ awareness of new and environmentally friendly agricultural techniques must be raised to increase their use. Highlights - Farmers associate climate change with drought. - According to the farmers, the leading factors causing climate change are human-induced factors that disrupt the ecological balance. - The most important concern regarding the effects of climate change is that production costs will increase. - Farmers are reluctant to implement adaptation or mitigation methods that can be developed against climate change.
{"title":"Interregional comparative analysis of farmers’ perceptions and expectations of climate change","authors":"Veysi Acibuca, Aybüke Kaya, T. Kaya","doi":"10.4081/ija.2022.2121","DOIUrl":"https://doi.org/10.4081/ija.2022.2121","url":null,"abstract":"This study looked into the relationship and effects of agricultural activities in different regions of Turkey on climate change. This study aims to determine farmer awareness of climate change and its effects, as well as farmer adaptation capabilities in different regions of Turkey against climate change, and to develop extension and policy tools based on the findings. Data were collected through face-to-face surveys with farmers in the provinces where the research was conducted. In this context, a proportional sampling survey of 418 farmers was conducted. The collected information was subjected to factor analysis and the independent t-test. According to the findings, farmers associate climate change with precipitation, and the effect of precipitation and the risks it poses in increasing or decreasing crop yields are of particular concern. Farmers in the Southeastern Anatolia Region are more concerned about heat and drought than farmers in the Mediterranean Region. Furthermore, producers believe that human-caused factors and economic development have a greater impact on climate change than agricultural activities. Farmers in research areas are concerned that climate change will increase migration from rural areas and the decline of forests and animal species. As a result, raising individual awareness and utilising new technology in rural areas is critical. Farmers’ awareness of new and environmentally friendly agricultural techniques must be raised to increase their use.\u0000Highlights - Farmers associate climate change with drought. - According to the farmers, the leading factors causing climate change are human-induced factors that disrupt the ecological balance. - The most important concern regarding the effects of climate change is that production costs will increase. - Farmers are reluctant to implement adaptation or mitigation methods that can be developed against climate change.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42620970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinhao Li, Chang-Shi Chen, Xue Yang, Junlan Xiong, Ni Ma
Crop yield is influenced by plant growth and development; both are affected by climatic variables and crop management practices. Therefore, understanding the effects of climate variables and management practices on rapeseed (Brassica napus L.) yield and growth duration (GD) is essential for developing strategies for agricultural systems based on changing climatic conditions. Thus, we quantified the respective contributions of climate change and crop management to rapeseed yield and GD between 2008 and 2019 in China using a first-difference multivariate regression model. Our results showed that: i) based on observed rapeseed yield and phenological data, the average planting date was delayed by –1.1 to 9.5 days decade–1, the average maturity date was advanced by 4.4 to 9.9 days decade–1, the average GD was shortened by 6.0 to 19.6 days decade–1 and the average yield increased by 12.82 to 61.5 kg ha–1 year–1; ii) the relative contributions of climate change and crop management to winter rapeseed yield were changed from –20% to +39% and from +61% to +80%, respectively, and the relative contributions to GD were changed from –10% to +15% and from –85% to +97%, respectively; iii) among the three climatic factors considered in this study, the climatic factor that caused the most remarkable change in winter rapeseed yield and GD was different in different regions. Overall, compared with cumulative temperature, cumulative sunshine hours may be the most critical climate factor limiting rapeseed yield in the Yangtze River Basin, especially in the upper reaches of the Yangtze River. Our results suggest that stakeholders select highyielding cultivars to optimise crop management and adaptation strategies in different agroecological zones. Highlights - The growth duration of winter rapeseed was shortened, and the yield increased in most stations. - Crop management to changes in GD and yield of winter rapeseed was greater than the impact of climate change. - Cumulative sunshine hours may be the most critical climate factor limiting rapeseed yield in the Yangtze River Basin.
作物产量受植物生长发育的影响；两者都受到气候变量和作物管理实践的影响。因此，了解气候变量和管理实践对油菜产量和生长期的影响，对于根据气候条件的变化制定农业系统战略至关重要。因此，我们使用第一差分多元回归模型量化了2008年至2019年间气候变化和作物管理对中国油菜籽产量和GD的各自贡献。我们的结果表明：i）根据观测到的油菜籽产量和酚学数据，平均种植期推迟了-1.1至9.5天，平均成熟期提前了4.4至9.9天，平均GD缩短了6.0至19.6天，年平均产量增加了12.82至61.5 kg ha–1；ii）气候变化和作物管理对冬油菜产量的相对贡献分别从–20%变为+39%和从+61%变为+80%，对GD的相对贡献则分别从–10%变为+15%和从–85%变为+97%；iii）在本研究考虑的三个气候因素中，导致冬油菜产量和GD变化最显著的气候因素在不同地区不同。总体而言，与累积温度相比，累积日照时数可能是限制长江流域特别是长江上游油菜产量的最关键气候因素。我们的研究结果表明，利益相关者选择高产品种，以优化不同农业生态区的作物管理和适应策略。亮点-冬油菜生长期缩短，大部分站点产量提高。-作物管理对GD和冬油菜产量的影响大于气候变化的影响累积日照时数可能是制约长江流域油菜产量的最关键的气候因素。
{"title":"The optimisation of rapeseed yield and growth duration through adaptive crop management in climate change: evidence from China","authors":"Xinhao Li, Chang-Shi Chen, Xue Yang, Junlan Xiong, Ni Ma","doi":"10.4081/ija.2022.2104","DOIUrl":"https://doi.org/10.4081/ija.2022.2104","url":null,"abstract":"Crop yield is influenced by plant growth and development; both are affected by climatic variables and crop management practices. Therefore, understanding the effects of climate variables and management practices on rapeseed (Brassica napus L.) yield and growth duration (GD) is essential for developing strategies for agricultural systems based on changing climatic conditions. Thus, we quantified the respective contributions of climate change and crop management to rapeseed yield and GD between 2008 and 2019 in China using a first-difference multivariate regression model. Our results showed that: i) based on observed rapeseed yield and phenological data, the average planting date was delayed by –1.1 to 9.5 days decade–1, the average maturity date was advanced by 4.4 to 9.9 days decade–1, the average GD was shortened by 6.0 to 19.6 days decade–1 and the average yield increased by 12.82 to 61.5 kg ha–1 year–1; ii) the relative contributions of climate change and crop management to winter rapeseed yield were changed from –20% to +39% and from +61% to +80%, respectively, and the relative contributions to GD were changed from –10% to +15% and from –85% to +97%, respectively; iii) among the three climatic factors considered in this study, the climatic factor that caused the most remarkable change in winter rapeseed yield and GD was different in different regions. Overall, compared with cumulative temperature, cumulative sunshine hours may be the most critical climate factor limiting rapeseed yield in the Yangtze River Basin, especially in the upper reaches of the Yangtze River. Our results suggest that stakeholders select highyielding cultivars to optimise crop management and adaptation strategies in different agroecological zones.\u0000Highlights - The growth duration of winter rapeseed was shortened, and the yield increased in most stations. - Crop management to changes in GD and yield of winter rapeseed was greater than the impact of climate change. - Cumulative sunshine hours may be the most critical climate factor limiting rapeseed yield in the Yangtze River Basin.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43196553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Climate variability and change impacts on crop productivity","authors":"D. Cammarano","doi":"10.4081/ija.2022.2177","DOIUrl":"https://doi.org/10.4081/ija.2022.2177","url":null,"abstract":"Not available","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46352951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nusrat Ehsan, G. Hoogenboom, Mahmood Khalid Qamar, C. J. Wilkerson, S. Wajid, F. Aziz
Climate change poses a serious risk to wheat farmers in many regions of the world. The present study was conducted in the Sialkot District, Punjab, Pakistan, to investigate climate change trends during the past thirty years and to determine farmers’ knowledge and perceptions about climate change. The study also addresses the impacts of climate change on wheat production, current adaptation strategies, and limitations in adaptations to climate-smart agriculture (CSA) through a questionnaire-based survey. The historical weather data from the past thirty years indicated an increase in the mean annual minimum and maximum temperature and a decrease in annual total precipitation. Wheat productivity during the past thirty years showed an increasing trend but it was inconsistent. The respondents’ perception of climate change indicated that the literate farmers and those with broad farming experience were more knowledgeable about the climatic effects on wheat production. However, the survey results showed that the age of the farmers did not affect their perceptions. The current management practices are primarily based on prior experiences (70%) and traditional practices (30%). The standard management practices to increase farm productivity include an increase in fertilizer use (70%), a decrease in manure use (24%), and intercropping or switching to other crop cultivations (60%). The farmers stated that their reasons for limited adaptation to climate smart farm practices (CSFP) were due to their lack of knowledge and skills (86%), lack of modern technologies (74%), economic constraints (78%), politics (86%), and social influences (74%). Based on the survey results, the study suggests that addressing these gaps can increase farm-level wheat productivity to increase resilience. This can be achieved by introducing stateof- the-art farming practices through farmer training and by providing institutional services with a focus on climate-specific farm consultation services, leading to climate-smart agricultural practices for improved food security. Highlights - Literate farmers are more aware of climate change as compared to illiterate farmers. - The farmers emphasized the increase in both the summer and winter temperature. - Rainfall is identified as a major climate threat in the study area. - The farmers identified that the highest impact of climate change occurred during the harvest phase of wheat. - The farmers stated that the limited adoption of climate smart agricultural practices is due to lack of knowledge and technological, economic, and other gaps.
{"title":"Climate change risk perception and adaptation to climate smart agriculture are required to increase wheat production for food security","authors":"Nusrat Ehsan, G. Hoogenboom, Mahmood Khalid Qamar, C. J. Wilkerson, S. Wajid, F. Aziz","doi":"10.4081/ija.2022.2129","DOIUrl":"https://doi.org/10.4081/ija.2022.2129","url":null,"abstract":"Climate change poses a serious risk to wheat farmers in many regions of the world. The present study was conducted in the Sialkot District, Punjab, Pakistan, to investigate climate change trends during the past thirty years and to determine farmers’ knowledge and perceptions about climate change. The study also addresses the impacts of climate change on wheat production, current adaptation strategies, and limitations in adaptations to climate-smart agriculture (CSA) through a questionnaire-based survey. The historical weather data from the past thirty years indicated an increase in the mean annual minimum and maximum temperature and a decrease in annual total precipitation. Wheat productivity during the past thirty years showed an increasing trend but it was inconsistent. The respondents’ perception of climate change indicated that the literate farmers and those with broad farming experience were more knowledgeable about the climatic effects on wheat production. However, the survey results showed that the age of the farmers did not affect their perceptions. The current management practices are primarily based on prior experiences (70%) and traditional practices (30%). The standard management practices to increase farm productivity include an increase in fertilizer use (70%), a decrease in manure use (24%), and intercropping or switching to other crop cultivations (60%). The farmers stated that their reasons for limited adaptation to climate smart farm practices (CSFP) were due to their lack of knowledge and skills (86%), lack of modern technologies (74%), economic constraints (78%), politics (86%), and social influences (74%). Based on the survey results, the study suggests that addressing these gaps can increase farm-level wheat productivity to increase resilience. This can be achieved by introducing stateof- the-art farming practices through farmer training and by providing institutional services with a focus on climate-specific farm consultation services, leading to climate-smart agricultural practices for improved food security.\u0000Highlights - Literate farmers are more aware of climate change as compared to illiterate farmers. - The farmers emphasized the increase in both the summer and winter temperature. - Rainfall is identified as a major climate threat in the study area. - The farmers identified that the highest impact of climate change occurred during the harvest phase of wheat. - The farmers stated that the limited adoption of climate smart agricultural practices is due to lack of knowledge and technological, economic, and other gaps.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41384751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Schillaci, Fabio Inverardi, M. Battaglia, A. Perego, W. Thomason, M. Acutis
Studies have shown that the quantification of hail damage is generally inaccurate and is influenced by the experience of the field surveyors/technicians. To overcome this problem, the vegetation indices retrieved by remote sensing, can be used to get information about the hail damage. The aim of this work is the detection of medium-low damages (i.e., between 10 and 30% of the gross saleable production) using the much-used normalized difference vegetation index (NDVI) in comparison with alternative vegetation indices (i.e., ARVI, MCARI, SAVI, MSAVI, MSAVI2) and their change from pre-event to post-event in five hailstorms in Lombardy in 2018. Seventy-four overlapping scenes (10% cloud cover) were collected from the Sentinel-2 in the spring-summer period of 2018 in the Brescia district (Lombardy). An unsupervised classification was carried out to automatically identify the maize fields (grain and silage), testing the change detection approach by searching for damage by hail and strong wind in the Lombardy plain of Brescia. A database of 125 field surveys (average size 4 Ha) after the hailstorm collected from the insurance service allowed for the selection of the dates on which the event occurred and provided a proxy of the extent of the damage (in % of the decrease of the yield). Hail and strong wind damages ranged from 5 to 70%, and they were used for comparison with the satellite image change detection. The differences in the vegetation indices obtained by Sentinel 2 before and after the hailstorm and the insurance assessments of damage after the events were compared to assess the degree of concordance. The modified soil-adjusted vegetation index outperformed other vegetation indices in detecting hail-related damages with the highest accuracy (73.3%). On the other hand, the NDVI resulted in scarce performance ranking last of the six indices, with an accuracy of 65.3%. Future research will evaluate how much uncertainty can be found in the method’s limitations with vegetation indices derived from satellites, how much is due to errors in estimating damage to the ground, and how much is due to other causes. Highlights - The discovery rate of damaged fields improved. - MSAVI outperformed NDVI and other vegetation indices, identifying 73.3% of occurrences. - Estimation of damage from remote sensing was more accurate for fields severely affected >50%. - In low-intensity hail events (<50 canopies affected), the MSAVI provided a detailed picture of the damage across the field. - The proposed approach is promising to develop a ‘sampling map’ for detailed on-ground assessment.
{"title":"Assessment of hail damages in maize using remote sensing and comparison with an insurance assessment: A case study in Lombardy","authors":"C. Schillaci, Fabio Inverardi, M. Battaglia, A. Perego, W. Thomason, M. Acutis","doi":"10.4081/ija.2022.2126","DOIUrl":"https://doi.org/10.4081/ija.2022.2126","url":null,"abstract":"Studies have shown that the quantification of hail damage is generally inaccurate and is influenced by the experience of the field surveyors/technicians. To overcome this problem, the vegetation indices retrieved by remote sensing, can be used to get information about the hail damage. The aim of this work is the detection of medium-low damages (i.e., between 10 and 30% of the gross saleable production) using the much-used normalized difference vegetation index (NDVI) in comparison with alternative vegetation indices (i.e., ARVI, MCARI, SAVI, MSAVI, MSAVI2) and their change from pre-event to post-event in five hailstorms in Lombardy in 2018. Seventy-four overlapping scenes (10% cloud cover) were collected from the Sentinel-2 in the spring-summer period of 2018 in the Brescia district (Lombardy). An unsupervised classification was carried out to automatically identify the maize fields (grain and silage), testing the change detection approach by searching for damage by hail and strong wind in the Lombardy plain of Brescia. A database of 125 field surveys (average size 4 Ha) after the hailstorm collected from the insurance service allowed for the selection of the dates on which the event occurred and provided a proxy of the extent of the damage (in % of the decrease of the yield). Hail and strong wind damages ranged from 5 to 70%, and they were used for comparison with the satellite image change detection. The differences in the vegetation indices obtained by Sentinel 2 before and after the hailstorm and the insurance assessments of damage after the events were compared to assess the degree of concordance. The modified soil-adjusted vegetation index outperformed other vegetation indices in detecting hail-related damages with the highest accuracy (73.3%). On the other hand, the NDVI resulted in scarce performance ranking last of the six indices, with an accuracy of 65.3%. Future research will evaluate how much uncertainty can be found in the method’s limitations with vegetation indices derived from satellites, how much is due to errors in estimating damage to the ground, and how much is due to other causes.\u0000Highlights - The discovery rate of damaged fields improved. - MSAVI outperformed NDVI and other vegetation indices, identifying 73.3% of occurrences. - Estimation of damage from remote sensing was more accurate for fields severely affected >50%. - In low-intensity hail events (<50 canopies affected), the MSAVI provided a detailed picture of the damage across the field. - The proposed approach is promising to develop a ‘sampling map’ for detailed on-ground assessment.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48452388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Techno-diversity for carbon farming and climate resilience","authors":"B. Basso","doi":"10.4081/ija.2022.2178","DOIUrl":"https://doi.org/10.4081/ija.2022.2178","url":null,"abstract":"Not available","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46935334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Pulina, R. Ferrise, Laura Mula, L. Brilli, L. Giglio, I. Iocola, D. Ventrella, L. Zavattaro, C. Grignani, P. Roggero
This study assesses the ability of an ensemble of crop models (MME) to predict the impacts of fertilization and crop residue management on soil organic carbon (SOC) and aboveground biomass (AGB) in a long-term experiment (LTE) based on continuous maize cropping systems. Data from a LTE in Northern Italy were used. Treatments included continuous grain (MG) or silage (MS) maize, fertilized with mineral, cattle slurry, and farmyard manure. The MME median resulted the best predictor of the observed values. Models performance was better when simulating MG than MS, and for crops treated with mineral compared to organic fertilizers. The ability to predict the dynamics of SOC was affected by the model used and by the year × residues management and year × fertilizer interactions. The model and the residue × fertilizer interaction affected the ability to simulate AGB dynamics. Results showed that a MME can effectively predict the long-term dynamics of SOC and maize crop production under contrasting fertilization and crop residue management, and thus their potential for climate change mitigation. The uncertainty in the simulation of SOC is related to the model routines simulating SOC partitioning and to the complexity of the interactions between management factors over time. Highlights - A crop model ensemble was compiled to simulate soil organic carbon and maize aboveground biomass dynamics in a long-term experiment. - The performances of stand-alone models and their ensemble were assessed under contrasting fertilization and crop residue management. - The multi-model ensemble using the median value of simulation was the best predictor of the variables observed in the long-term experiment. - Improved performances in simulations were observed when crop residues were incorporated into the soil, regardless of the fertilization management. - The uncertainty in SOC simulation increased over time for cropping systems with silage maize and organic fertilization.
{"title":"The ability of crop models to predict soil organic carbon changes in a maize cropping system under contrasting fertilization and residues management: Evidence from a long-term experiment","authors":"A. Pulina, R. Ferrise, Laura Mula, L. Brilli, L. Giglio, I. Iocola, D. Ventrella, L. Zavattaro, C. Grignani, P. Roggero","doi":"10.4081/ija.2022.2179","DOIUrl":"https://doi.org/10.4081/ija.2022.2179","url":null,"abstract":"This study assesses the ability of an ensemble of crop models (MME) to predict the impacts of fertilization and crop residue management on soil organic carbon (SOC) and aboveground biomass (AGB) in a long-term experiment (LTE) based on continuous maize cropping systems. Data from a LTE in Northern Italy were used. Treatments included continuous grain (MG) or silage (MS) maize, fertilized with mineral, cattle slurry, and farmyard manure. The MME median resulted the best predictor of the observed values. Models performance was better when simulating MG than MS, and for crops treated with mineral compared to organic fertilizers. The ability to predict the dynamics of SOC was affected by the model used and by the year × residues management and year × fertilizer interactions. The model and the residue × fertilizer interaction affected the ability to simulate AGB dynamics. Results showed that a MME can effectively predict the long-term dynamics of SOC and maize crop production under contrasting fertilization and crop residue management, and thus their potential for climate change mitigation. The uncertainty in the simulation of SOC is related to the model routines simulating SOC partitioning and to the complexity of the interactions between management factors over time.\u0000Highlights - A crop model ensemble was compiled to simulate soil organic carbon and maize aboveground biomass dynamics in a long-term experiment. - The performances of stand-alone models and their ensemble were assessed under contrasting fertilization and crop residue management. - The multi-model ensemble using the median value of simulation was the best predictor of the variables observed in the long-term experiment. - Improved performances in simulations were observed when crop residues were incorporated into the soil, regardless of the fertilization management. - The uncertainty in SOC simulation increased over time for cropping systems with silage maize and organic fertilization.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44887284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Cammarano, F. Becherini, L. Leolini, Dario Camuffo, M. Moriondo, A. della Valle, R. Ferrise
Understanding how long-term temperature variability affects the phenology of the main agricultural crop is critical to develop targeted adaptation strategies to near and far future climate impacts. The objective of this study was to use crop phenology as a proxy to quantify the impact of a long-term temperature variability series (1764-2017) on a summer cereal crop (maize), spring wheat, winter wheat, and four different vines (perennials) in two locations representative of the main agricultural areas in northern Italy. To develop the phenological models for cereals and grapevines, the minimum (TDmin) and maximum (TDmax) daily temperatures for Milano and Bologna, northern Italy, from 1763 to 2017 were used. Results showed that wheat (spring and winter) has experienced a reduction in the growing period of 13 days for each °C of air temperature increase during the growing season. Vernalization requirements of winter wheat indicated that further increase in air temperature will determine a shift towards a supraoptimal range. The subsequent delay in vernalization fulfilment causes the grain filling phase to occur in warmer conditions and will be further shortened with consequences for final yield. Chilling accumulation in vines was fulfilled over the entire period under study with 90% effective chilling. Highlights - Long-term weather series show how the mean air temperature and its extremes have changed over the years. - Simulation of cereals and perennials phenology using long-term weather series showed a shortening of the growing season and a shift of developmental stages. - The number of days when the air temperature is above the crops’ physiological threshold increased, with implications for development and senescence rates.
{"title":"Impact of long-term (1764-2017) air temperature on phenology of cereals and vines in two locations of northern Italy","authors":"D. Cammarano, F. Becherini, L. Leolini, Dario Camuffo, M. Moriondo, A. della Valle, R. Ferrise","doi":"10.4081/ija.2022.2164","DOIUrl":"https://doi.org/10.4081/ija.2022.2164","url":null,"abstract":"Understanding how long-term temperature variability affects the phenology of the main agricultural crop is critical to develop targeted adaptation strategies to near and far future climate impacts. The objective of this study was to use crop phenology as a proxy to quantify the impact of a long-term temperature variability series (1764-2017) on a summer cereal crop (maize), spring wheat, winter wheat, and four different vines (perennials) in two locations representative of the main agricultural areas in northern Italy. To develop the phenological models for cereals and grapevines, the minimum (TDmin) and maximum (TDmax) daily temperatures for Milano and Bologna, northern Italy, from 1763 to 2017 were used. Results showed that wheat (spring and winter) has experienced a reduction in the growing period of 13 days for each °C of air temperature increase during the growing season. Vernalization requirements of winter wheat indicated that further increase in air temperature will determine a shift towards a supraoptimal range. The subsequent delay in vernalization fulfilment causes the grain filling phase to occur in warmer conditions and will be further shortened with consequences for final yield. Chilling accumulation in vines was fulfilled over the entire period under study with 90% effective chilling.\u0000Highlights - Long-term weather series show how the mean air temperature and its extremes have changed over the years. - Simulation of cereals and perennials phenology using long-term weather series showed a shortening of the growing season and a shift of developmental stages. - The number of days when the air temperature is above the crops’ physiological threshold increased, with implications for development and senescence rates.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46527077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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