Agricultural Climate Research Articles

Looking to Livestock: Gauging the Evolution of the EU's Agri-Climate Law and Policy

Abstract Awareness of agricultural climate impacts is growing. In the European Union (EU), the agricultural sector is responsible for significant greenhouse gas emissions while continuing to receive considerable EU budgetary support. A large share of agricultural emissions is linked to livestock husbandry, a sector the direct and indirect climate impacts of which the EU's ‘green’ agricultural policies have historically ignored. This blind spot extends to the sizeable global deforestation footprint from EU livestock feed imports that remains unaddressed, despite the EU's aspired status as a global climate leader and major global agricultural market player. This article benchmarks the evolution of EU agri-climate legal and policy developments, using livestock emissions as a case study to highlight the importance of learning from the successes and failures of the EU experience, to realize future attempts to tackle global agricultural emissions.

From ban to balance: How agricultural climate policies reshape rural asset allocation?

Environmental regulation on climate risk for promoting sustainable development is an important research topic that requires further attention. In response to the increasing awareness of agricultural climate and environmental protection, the implementation of the straw burning ban policy has been adopted in China. To gain a deeper understanding of the implications and effectiveness of the straw burning ban policy on rural households assets allocation behaviors, and this study utilizes China Family Panel Studies (CFPS) during 2010 to 2018 and employs the Difference-in-Differences (DID) estimation strategy to identify the causal effect. Accordingly, we draw several empirical findings. First, the straw burning ban policy has a significant impact on the assets allocation behaviors of rural households, leading to an increase in both risk and non-risk assets. Specifically, a preference for risky investments strongly exist following the occurrence of the straw burning shock. Second, we reveal significant reductions in the number of farmers and farming production costs, including expenses related to irrigation, seeds, and land usage. Conversely, we observe a significant increase in land renting and farmer machinery leasing activities. These effects are found to change the income patterns and thus affect household assets allocation behaviors. Third, the straw burning ban policy has a significant decline impact on household expenditures, specifically in total and housing expenditures, while welfare expenditure shows a positive increase as the preventive motivation. Finally, rural households affected by straw burning ban policy are significantly induced to increase allocation in short-term saving and non-financing assets, as well as in financing fixed-assets and financial investments.

Spatial and Temporal Variations of Climate Resources during the Growing Season of Early-Season Rice in Hunan Province

The rising temperatures and changes in precipitation due to climate change have significantly impacted agricultural production. Evaluating the effects of climate change on rice production is crucial for improving rice cultivation techniques and ensuring food security. It is essential to comprehensively examine the climatic, spatial, and temporal variations during the duration of crop production. Previous research has mainly focused on different rice planting areas, rice types, and various growth stages of rice. However, more research is needed on the climatic changes during the crop-growing season in specific regions. Therefore, this study compiled complete daily meteorological data from 37 meteorological stations in Hunan Province from 1961 to 2020. The period from 1961 to 2020 was divided into three segments: 1961–1980 (a), 1981–2000 (b), and 2001–2020 (c), to analyze the characteristics of agricultural climate resource changes during different growth stages of early-season rice in Hunan Province. Results show that the heat resources were significantly increased (accumulated temperature growth rate of 43.36 °C/10a), the sunshine resources were decreased by −14.60 h/10a, and the precipitation resources were slightly increased by 6.85 mm/10a. The increase in heat resources mainly occurs during the vegetative growth stage of early-season rice. Additionally, the high-value regions of heat resources and precipitation in period c are 97.8% and 34.2% higher than the average values of periods a and b, respectively. In contrast, the regions with high sunshine hours significantly decreased in period c compared to periods a and b. In summary, the heat, sunshine, and water resources in the central and eastern regions of Hunan Province increase simultaneously, and appropriate cultivation measures should be adopted in the future to improve the yield and resource utilization efficiency of early-season rice in a double-cropping system.

Evaluation of Climate Suitability for Maize Production in Poland under Climate Change

Climatic conditions are the main factor influencing the suitability of agricultural land for crop production. Therefore, the evaluation of climate change impact on crop suitability using the best possible methods and data is needed for successful agricultural climate change adaptation. This study presents the application of a multi-criteria evaluation approach to assess climate suitability for maize production in Poland, for a baseline period (BL, 1981–2010) and two future periods 2041–2070 (2050s) and 2071–2100 (2080s) under two RCP (Representative Concentration Pathways) scenarios: RCP4.5 and RCP8.5. The analyses incorporated expert knowledge using the Analytical Hierarchy Process (AHP) into the evaluation of criteria weights. The results showed that maturity and frost stress were the most limiting factors in assessing the climatic suitability of maize cultivation in Poland, with 30% and 11% of Poland classified as marginally suitable or not suitable for maize cultivation, respectively. In the future climate, the area limited by maturity and frost stress factors is projected to decrease, while the area of water stress and heat stress is projected to increase. For 2050 climate projections, water stress limitation areas occupy 7% and 8% of Poland for RCP4.5 and RCP8.5, respectively, while for 2080 projections, the same areas occupy 12% and 32% of the country, respectively. By 2080, heat stress will become a limiting factor for maize cultivation; according to our analysis, 3% of the Polish area under RCP8.5 will be marginally suitable for maize cultivation because of heat stress. The overall analyses showed that most of Poland in the BL climate is in the high suitability class (62%) and 38% is moderately suitable for maize cultivation. This situation will improves until 2050, but will worsen in the 2080s under the RCP8.5 scenario. Under RCP8.5, by the end of the century (2080s), the highly suitable area will decrease to 47% and the moderately suitable area will increase to 53%.

Climate-Smart Agriculture as an Adaptation Measure to Climate Change in Togo: Determinants of Choices and Its Impact on Rural Households’ Food Security

Climate-smart agriculture is one of the most important actions for agricultural climate change adaptation, especially in Togo, a sub-Saharan African country with a fragile ecology and where agriculture is profoundly impacted by climate change. Using a multinomial endogenous switching regression (MESR) and a multinomial endogenous treatment effect (METE) approach, we conducted empirical research to identify the factors influencing the adoption decisions of climate-smart agricultural practices (CSAPs) and their impact on household food security among smallholder farmers in Togo. The findings of this study revealed that the adoption of CSAPs by farmers is influenced by a range of factors, such as age, marital status, the household head’s gender, engagement in off-farm activities, level of education, farm size, agroecological zone, regional location, land ownership, distance between homestead and farm, access to credit, the presence of agricultural associations and cooperatives, and access to extension agents. On the one hand, the MESR analysis demonstrated a positive correlation between the number of adopted CSAPs and households’ food consumption score. Similarly, greater adoption of CSAPs resulted in a significant reduction in the food insecurity experience scale. On the other hand, the METE model portrayed an increase in acceptable food consumption when households adopted up to three CSAPs. Likewise, it significantly alleviated severe food insecurity. Further results based on the propensity score matching technique showed that the adoption of a crop rotation system, utilization of improved varieties of seeds, plant protection products, inorganic fertilizer, organic fertilizer, and irrigation improved adopters’ food consumption scores while reducing their level of food insecurity.

Pathways to identify and reduce uncertainties in agricultural climate impact assessments.

Both climate and impact models are essential for understanding and quantifying the impact of climate change on agricultural productivity. Multi-model ensembles have highlighted considerable uncertainties in these assessments, yet a systematic approach to quantify these uncertainties is lacking. We propose a standardized approach to attribute uncertainties in multi-model ensemble studies, based on insights from the Agricultural Model Intercomparison and Improvement Project. We find that crop model processes are the primary source of uncertainty in agricultural projections (over 50%), excluding unquantified hidden uncertainty that is not explicitly measured within the analyses. We propose multidimensional pathways to reduce uncertainty in climate change impact assessments.

Impact of adding zeolite to broilers' diet and litter on growth, blood parameters, immunity, and ammonia emission

This work was designed to assess the impact of varying zeolite concentrations in diet and litter to enhance broiler's growth performance, immunity, and litter quality. A complete random arrangement was used for distributing 525 unsexed "Cobb 500" broiler chicks into seven treatments (75 chick / treatment), each treatment divided into 3 replicates (25 chicks / replicate). The 1st group (control one) received the recommended basal diet. Zeolite has been introduced to the basal diet (ZD) of the second, third, and fourth groups at concentrations of 5, 10, and 15 g/kg, respectively. The 5th, 6th and 7th groups used zeolite mixed with litter (ZL) at 0.5, 1, and 1.5 kg/m2 of litter, respectively. Due to the obtained results, adding zeolite with levels 15 g/kg of diet and 1.5 kg/1 m2 of litter, a significant improvement occurred in live body weight (LBW), body weight gain (BWG), feed intake (FI), feed conversion ratio (FCR) and European production efficiency factor (EPEF). Also, transaminase enzymes (ALT and AST), creatinine, white blood cells (WBCs) and different Immunoglobulins were significantly increased with different zeolite levels, except urea concentrations which showed reduced due to different zeolite treatments. In addition, spleen relative weight hasn't been affected by zeolite treatments, even though thymus and bursa relative weights had been affected significantly. Moreover, the antibodies' production to Newcastle disease virus (NDV) and Avian influenza virus (AIV) had increased significantly with adding zeolite with levels 10 g/kg of diet and 1.5 kg/1m2 of litter. Litter quality traits (NH3 concentration, pH values, and Moisture content) were improved with zeolite addition. So, zeolite could be employed in both feed and litter of broilers to maximize their production, immunity and improve farm's climate.

Assessing the Impacts of Mulching-Induced Warming Effects on Machine-Picked Cotton Zones

The 20th century saw notable fluctuations in global temperatures, which significantly impacted agricultural climate zones across the Earth. Focusing on Xinjiang, China, a leading region in machine-picked cotton production, we identified several key thermal indicators influencing the yield, including the sum of active temperatures ≥ 10 °C, the mean temperature in July, the climatological growing season length, the April–May sum of active temperatures, the last frost day, and the defoliant spray time. Using meteorological data from 58 weather stations in Xinjiang, we examined the spatiotemporal trends of these indicators during the 1981–2020 period. Additionally, we attempted to determine the effects of plastic mulching on the sowing area and the zoning area of machine-picked cotton in different suitable zones based on these indicators. In conclusion, the overall thermal resources in Xinjiang are exhibiting an upward trend and show a distribution pattern of “more in the south of Xinjiang than in the north of Xinjiang, and more in the plains and basins than in the mountains”. Under the plastic-mulching mechanism, the zoning area of the suitable zone has increased by 15.7% (2.15 × 103 km2), suggesting that climate warming and the widespread application of mulching technology provide unexplored potential for the most suitable regions for machine-picked cotton in Xinjiang, while the 14.5% (0.26 × 103 km2) and 7.8% (0.17 × 103 km2) reductions in the unsuitable and less suitable zones, respectively, suggest that the planting areas of machine-picked cotton in both the less suitable and unsuitable zones, particularly with the existing regional planning, continue to demonstrate an irrational expansion. Therefore, to sustain Xinjiang’s cotton industry’s resilience and productivity, policymakers need to prioritize proactive land management and sustainable land allocation practices in response to changing climate patterns to optimize cotton production.

Systemic barriers preventing farmer engagement in the agricultural climate transition: a qualitative study

AbstractFarmers and the agricultural sector are facing an uncertain future, due to rapidly changing agricultural policy and a nexus of commercial, environmental and biodiversity challenges brought on by anthropogenic climate change. Balancing the interests of the farming community and natural environment is generating organisational and personal conflict, rather than effective agricultural adaption and a focus on the net zero transition. In this paper, we consider how farmers and the wider farming community can participate in engagement and decision-making for the transition, on their own terms, whilst ensuring social justice for fair and equitable decision-making. We discuss findings from our research project, that used questionnaires and follow up semi-structured interviews with farmers and farming groups to reveal systemic issues that prevent farmers engaging with the climate transition to net zero during their everyday practice. We highlight the structural relationships that form these barriers and frustrate farmers when designing and implementing farm interventions to agricultural systems during times of transition. Farmers have highlighted barriers to be associated with policy, (uncertain government strategy, landowner bias in government policy and tenancy restrictions, government bureaucracy—particularly environment schemes), commercial (market forces—downward pressure from supermarkets on price points, availability of labour due to seasonal migration restrictions, increasing cost of labour) and interpersonal (succession—uncertain future of the family farm due to limited income). This frustrates the ability of farmers to address climate change through farming practices and undermines the implementation of innovative engagement practices, such as co-produced interventions, in policy and decision-making settings.

Farmer's climate smart livestock production adoption and determinant factors in Hidebu Abote District, Central Ethiopia.

This study aimed to identify the status, determining factors, and challenges in adopting climate smart livestock production practices by farmers. Three-staged sampling techniques were used to select the research sites and 233 sample farmer household respondents. Data were collected mainly using a pre-tested structured questionnaire. Key informant interviews and focus group discussions were also conducted to complement the household survey data. Descriptive statistics and an ordered logistic regression model were applied to analyze the quantitative data. The result revealed that the most adopted practices were composting (85.41%) and manure management (70.39%) while the least adopted technologies were biogas generation (3.86%) and rotation grazing (22.32%). The adoption status of the sampled farmers was also categorized into low (19.74%), medium (67.81%), and high adopter (12.45%). The high cost of improved breed, use of manure for fuel, free grazing, lack of information and awareness were the major constraints to adopting the climate smart livestock production technologies. The result also revealed that education, grazing land, total livestock holding, and extension agent contact contributed significantly and positively to the adoption of smart livestock production technology, while the distance from the water source had an insignificant and negative effect on the adoption status of climate smart livestock production practices. The study suggests the relevance of the cooperation of stakeholders and strengthening extension services for the maximum benefits of climate smart livestock production.

Empirical modeling of agricultural climate risk

Effective policies for adaptation to climate change require understanding how impacts are related to exposures and vulnerability, the dimensions of the climate system that will change most and where human impacts will be most draconian, and the institutions best suited to respond. Here, we propose a simple method for more credibly pairing empirical statistical damage estimates derived from recent weather and outcome observations with projected future climate changes and proposed responses. We first analyze agricultural production and loan repayment data from Brazil to understand vulnerability to historical variation in the more predictable components of temperature and rainfall (trend and seasonality) as well as to shocks (both local and over larger spatial scales). This decomposed weather variation over the past two decades explains over 50% of the yield variation in major Brazilian crops and, critically, can be constructed in the same way for future climate projections. Combining our estimates with bias-corrected downscaled climate simulations for Brazil, we find increased variation in yields and revenues (including more bad years and worse outcomes) and higher agricultural loan default at midcentury. Results in this context point to two particularly acute dimensions of vulnerability: Intensified seasonality and local idiosyncratic shocks both contribute to worsening outcomes, along with a reduced capacity for spatially correlated ("covariate") shocks to ameliorate these effects through prices. These findings suggest that resilience strategies should focus on institutions such as water storage, financial services, and reinsurance.

Are our lands getting wetter or drier? A perspective from Climate scenario data in Upper Brantas

Changes in rainfall are considered influential for sustaining the land resources in tropical agriculture. Many areas in East Java are classified as top priorities in adaptation and mitigation programs, especially in the agricultural and water resources sectors. Climate change impacts have been documented through global-scale General Circular Models (GCM). This study examined the future estimated climate generated from the CMIP5 model of the globe’s climate of four greenhouse gas scenarios in the Brantas Hulu watershed and studied the consequences for the agricultural climate suitability. The study exploited the 18 climate calculation models at the regional level by focusing on RCP 4.5, the development scenario considered in Indonesia’s climate action. During the 2000-2099 predictions, temperature and precipitation increased in all models. If this increase continues to be experienced without efforts for proper mitigation and adaptation plans, the disruption in agricultural products might pose a major consequence for food security.

Potential for Agricultural Expansion in Degraded Pasture Lands in Brazil Based on Geospatial Databases

Important public and private initiatives to map agricultural lands and natural resources have been carried out in Brazil to support land use planning. Some studies indicate that Brazil still has up to 109.7 million hectares of cultivated pastures with some level of degradation, representing around 60% of the total pasturelands, estimated at 177 million hectares. This study aimed to gather, process, and analyze publicly available databases to generate quantitative and spatial information about the potential of Brazilian degraded pastures for agricultural expansion. We considered data related to the natural agricultural potential, restrictions imposed by special areas (indigenous lands and Afro-Brazilian “quilombola” settlements), areas with high biodiversity conservation priorities, infrastructure such as distance between major highways and availability of warehouses, current agricultural areas, and the information made available by Agricultural Climate Risk Zoning. The results indicated the existence of approximately 28 million hectares of planted pastures with intermediate and severe levels of degradation that show high potential for agricultural crops. These areas could increase the planted areas with grains in Brazil by approximately 35% in relation to the total area used in the 2022/23 crop season.

Addressing the impacts of climate change on agricultural adaptation strategies: a case study in Nepal

PurposeAs climate change increasingly affects rural food production, there is an urgent need to adopt agricultural adaptation strategies. Because the agricultural sector in Nepal is one of the most vulnerable to the effects of climate change, the adaptation strategies of household farmers in rural areas are crucial. This study aims to address the impacts of agricultural climate change adaptation strategies in Nepal. The research empirically analyzed climate hazards, adaptation strategies and local adaptation plans in Mangalsen Municipality, Achham District, Sudurpashchim Province, Nepal.Design/methodology/approachThis study used a purposive sampling of household lists, categorized as resource-rich, resource-poor and intermediate households. The analysis used primary data from 110 household surveys conducted among six focus groups and 30 informants were selected for interviews through purposive random sampling.FindingsClimate change significantly impacts rainfall patterns and temperature, decreasing agriculture productivity and increasing household vulnerability. To overcome these negative impacts, it is crucial to implement measures such as efficient management of farms and livestock. A comprehensive analysis of Nepalese farmers' adaptation strategies to climate change has been conducted, revealing important insights into their coping mechanisms. By examining the correlation between farmers' strategies and the role of the local government, practical policies can be developed for farmers at the local level.Originality/valueThis study represents a significant breakthrough in the authors' understanding of this issue within the context of Nepal. It has been conclusively demonstrated that securing land tenure or land security and adopting appropriate agricultural methods, such as agroforestry, can be instrumental in enabling Nepalese households to cope with the effects of climate change effectively.

АРХЕОЛОГІЧНІ ДОСЛІДЖЕННЯ ДАВНЬОРУСЬКИХ ПОСЕЛЕНЬ 10–13 СТОЛІТЬ НА ТЕРИТОРІЇ СЛОВЕЧАНСЬКО-ОВРУЦЬКОГО КРЯЖУ

The article highlights the history of research on the peculiarities of the settlement structure of theAncient Rus period on the territory of a unique natural formation – the Slovechansko-Ovruchskyi ridge, located in the north of the Zhytomyr region. The purpose of the article: to analyze the stages of research of ancient Rus objects that had special conditions of development during the 10–13 centuries. The methodological basis of the research is the principle of scientificity, methods of empirical and theoretical research. Scientific novelty: for the first time, information on the study of ancient Russian settlements, which arose and developed in specific economic conditions during the 10-13 centuries, was analyzed and systematized. Conclusions. In addition to good fertile soils and a favorable climate for agriculture, the territory of the Ovrutsky ridge also attracted people with deposits of pink pyrophyllite slates. Mining, processing and manufacturing of things from it become the main occupation of the local the Ancient Rus population. A unique settlement structure is formed on the territory of the ridge, which traditionally consists of a settlement, a post, open settlements and burial grounds. But the peculiarity is that open settlements have a large area, they can conditionally be combined into agglomerations. Also, the settlements are specialized, their population is closely related to the development of pyrophyllite deposits, its extraction, processing, and transportation are the main occupations of the ancient Rus population of the Ovrutsky Ridge. Ancient Rus on the specified territory were destroyed for a long time, but from the end of the 9th century. they began to be discovered and recorded by scientists. During the entire 20th century the sights of the region were examined by archaeologists, but no research was carried out. only from the end of the 20th century. The Ovrutsk archaeological expedition started working in the region, which discovered unique sights - specialized settlements with a rich cultural layer. But the archaeological sites of the region also require protection. The activities of the employees of the Ovrutsk archaeological expedition within the framework of the "Ovrutsk project" created for the study and protection of the monuments of the former Ovrutsk volost are aimed at this.

The Effect of Agricultural Policies on Farm Production in Benue Division, North Region of Cameroon.

The main objective of this study is to determine the effect of government agricultural policies on farm production in the Benue division in the Northern region of Cameroon. Data was collected from 399 respondents using a self-administered questionnaire through a stratified sampling technique of 12 sub-divisions in the Benue division. We adopted a binary logistic regression estimation technique to estimate the model. The empirical results of the binary logistic model for the overall sample revealed that Government extension and advisory services (GEAS) have a positive effect on farm production. Specifically, increasing GEAS in the Benue division will lead to a 0.09419 increase in farm production and it is significant at a 5% level of significant. Government agricultural infrastructure (GAIF), a unit increase in GAIF, will lead to a 0.3790 increase in farm production in the Benue division and it is significant at a 10% level of significance. The last significant government agricultural policy on farm production is the government agricultural financial policy (GAFP). The result revealed that an increase or improvement of GAFP in the Benue division, will increase farm production by 0.3366 and it is significant at a 5% level of significant. Meanwhile, government agricultural climate policy has an insignificant effect on farm production. In this light, there is a need for the government to train and deploy more extension workers in the various sub-divisions and communities in Benue division, to increase farmers’ access to these services. This can be done by giving specific skills on how to produce dominant food crops and livestock in the Benue division through workshops and seminars.

Net greenhouse gas balance in U.S. croplands: How can soils be part of the climate solution?

Agricultural soils play a dual role in regulating the Earth's climate by releasing or sequestering carbon dioxide (CO2 ) in soil organic carbon (SOC) and emitting non-CO2 greenhouse gases (GHGs) such as nitrous oxide (N2 O) and methane (CH4 ). To understand how agricultural soils can play a role in climate solutions requires a comprehensive assessment of net soil GHG balance (i.e., sum of SOC-sequestered CO2 and non-CO2 GHG emissions) and the underlying controls. Herein, we used a model-data integration approach to understand and quantify how natural and anthropogenic factors have affected the magnitude and spatiotemporal variations of the net soil GHG balance in U.S. croplands during 1960-2018. Specifically, we used the dynamic land ecosystem model for regional simulations and used field observations of SOC sequestration rates and N2 O and CH4 emissions to calibrate, validate, and corroborate model simulations. Results show that U.S. agricultural soils sequestered Tg CO2 -C year-1 in SOC (at a depth of 3.5 m) during 1960-2018 and emitted Tg N2 O-N year-1 and Tg CH4 -C year-1 , respectively. Based on the GWP100 metric (global warming potential on a 100-year time horizon), the estimated national net GHG emission rate from agricultural soils was Tg CO2 -eq year-1 , with the largest contribution from N2 O emissions. The sequestered SOC offset ~28% of the climate-warming effects resulting from non-CO2 GHG emissions, and this offsetting effect increased over time. Increased nitrogen fertilizer use was the dominant factor contributing to the increase in net GHG emissions during 1960-2018, explaining ~47% of total changes. In contrast, reduced cropland area, the adoption of agricultural conservation practices (e.g., reduced tillage), and rising atmospheric CO2 levels attenuated net GHG emissions from U.S. croplands. Improving management practices to mitigate N2 O emissions represents the biggest opportunity for achieving net-zero emissions in U.S. croplands. Our study highlights the importance of concurrently quantifying SOC-sequestered CO2 and non-CO2 GHG emissions for developing effective agricultural climate change mitigation measures.

A novel habitat adaptability evaluation indicator (HAEI) for predicting yield of county-level winter wheat in China base on multisource climate data from 2001 to 2020

The effective collaboration between crop habitat adaptability evaluation and yield prediction is of great significance. Climate factors occupy an indispensable role, but the contributions of different climate factors to crop growth present spatiotemporal heterogeneity and confusion, amplifying the challenges associated with large-scale dynamic evaluations. Additionally, the mounting input parameters in yield prediction compound the uncertainty and intricacy of modeling. To address these challenges, a climate-driven dynamic habitat adaptability evaluation indicator (HAEI) was developed, capable of forecasting county-level winter wheat yields in China. First, the distribution characteristics and matching relationship between climate and yield variability were explored from multi-source data in the long time series, and a novel method of multiple-factor adaptive matching habitat membership degree was proposed. Second, considering the interaction and contribution differences between multiple-factor at different phenological periods, a comprehensive HAEI suitable for the entire growth period of winter wheat is constructed. The results showed that HAEI can integrate climate information that has a greater impact on yield variability and has a significant correlation with yield in various regions and periods, with an average correlation of 0.70. Remarkably, the predictive models incorporating HAEI consistently outperformed other yield prediction algorithms, demonstrating superior accuracy (R2 = 0.62–0.76, nRMSE = 0.1517–0.2031). Even in the least favorable scenario, involving a linear model with HAEI input, satisfactory results were achieved. This comprehensive framework effectively mitigates the adverse consequences of widespread agricultural climate heterogeneity and evaluates the habitat adaptability and yield status of wheat at the county level in China.

Damage Caused by Spodoptera frugiperda J.E Smith on Corn in Climate Zones in South Sulawesi, Indonesia

Corn, as one of the main commodities in South Sulawesi, cannot be separated from pests such as Spodoptera frugiperda. J.E Smith. S. frugiperda is a new invasive pest in Indonesia and has been reported to spread throughout the provinces, including South Sulawesi. However, information on S. frugiperda damage in South Sulawesi was still limited. The purpose of this research is to determine how S. frugiperda affects corn plants in South Sulawesi’s potential agricultural climate zones, specifically the west, east, and transitional sectors. Surveys from October to December 2022 were carried out in three regencies representing each climate zone in South Sulawesi. The scouting method was used to conduct field observations on 50 plant samples at each location. Use a visual rating scale of 1 (no damage) to 5 (severe plant stunting and funnel damage) to determine the severity. The intensity of attack during the observation recorded the highest rate of attack in the transitional sector The highest attack rate was in the transitional sector (Luwu), with a total damage category and attack intensity of 48.7%, while the lowest was in the eastern sector (Wajo), with an attack intensity of 32.80%. The highest larval density was in the transitional sector (Luwu), with an average range of 0.04-0.52 larva/plant, while the lowest was in the western sector (Takalar), with an average range of 0.04-0.06 larva/plant. The infested corn plants in the all-climate zone in South Sulawesi showed various typical damages caused by S. frugiperda.

Effects of mulching types on the yield and water utilization by broomcorn millet (Panicum miliaceum): Results of a study in the Loess Plateau, China

Mulching practices have been widely adopted to improve rainfed crop productivity. However, the major resources including water, heat, and light that influenced the yield of broomcorn millet in different dryland regions have rarely been explored. A three-season field experiment with three mulching practices i.e. traditional planting with non-mulching (TP), ridge-furrow mulching system (RF), and plastic film mulching (PFM) was conducted in three semi-arid regions in the Loess Plateau, China, i.e. Guyuan city (GY), Huining county (HN), and Yulin city (YL) between 2020 and 2022 to investigate the impacts of mulching regimes on soil hydrothermal conditions, agronomic characteristics, leaf photosynthetic properties, broomcorn millet yield, and water use efficiency (WUE). Results showed that both PFM and RF treatments increased soil temperature and moisture, and enhanced dry matter accumulation by promoting leaf photosynthetic capacity and chlorophyll content, thereby improving broomcorn millet yield and WUE. PFM and RF increased the average broomcorn millet yield by 15.08% and 24.86% at GY site, 20.86% and 25.61% at HN site, and 15.75% and 25.57% at YL site, respectively, and increased the average WUE by 16.31% and 27.48% at GY site, 23.21% and 28.80% at HN site, 15.55% and 28.57% at YL site, respectively. Partial least squares path modeling analysis revealed that soil moisture was an important environmental factor in determining broomcorn millet yield. Overall, RF practice can be taken to improve the management of agricultural climate factors and maximize yield, thereby promoting the sustainable development of dryland agriculture in the Loess Plateau.