Seven-year long-term inoculation with Funneliformis mosseae increases maize yield and soil carbon storage evidenced by in situ 13C-labeling in a dryland.

Arbuscular mycorrhizal fungi (AMF) establish symbiotic relationships with roots of most plants, contributing to plant water uptake and soil carbon (C) sequestration. However, the interactive contribution and of long-term field AMF inoculation and water conservation on maize yield and soil organic carbon (SOC) sequestration in drylands remain largely unknown. After 7-year long-term field inoculation with AMF Funneliformis mosseae, AMF suppression by fungicide benomyl, and no-AMF/no-benomyl control, and two water conservation practices of half-film and full-film mulching (∼50 % and ∼100 crop planted area covered with plastic film), this study thus applied in situ 13CO2-C labeling and high-throughput sequencing to quantify newly photosynthetically assimilated C into different soil C pools including soil aggregates and respiration, and their effects on maize growth and productivity. Results showed that 7-year long-term AMF inoculation significantly increased the relative abundance of F. mosseae in rhizosphere soil and root AMF colonization, indicating that F. mosseae successfully dominated in AMF communities. Compared to no-AMF/no-benomyl control, AMF colonization significantly increased shoot biomass and maize yield by 17.9 % and 20.3 % while mitigated the less water conservation effects of half-film mulching on maize performance. The SOC content under field AMF inoculation SOC was increased from 7.9 to 8.4 g kg-1 and also the mean weight diameter of aggregates (1.21 to 1.35), e.g. aggregate stability. After 1 and/or 40 days 13C labeling, the enhanced 13C translocations into macro-aggregates with decreased 13C emissions from microbial decomposition under field AMF inoculation had contributed to SOC conservation in bulk soil. These results suggest that AMF inoculation in dryland crops is promising to increase crop yield while promoting more atmospheric CO2 fixation in soil aggregates. A long-term field AMF inoculation will enhance our understanding of applying beneficial mycorrhizal fungi to enhance soil C sequestration and also crop yield via plant-fixed atmospheric CO2 in semi-arid and arid farmlands.

Unraveling patterns, causes, and nature-based remediation strategy for non-grain production on farmland in hilly regions.

The surge in non-grain production on farmland (NGPF) poses significant threats to food security and land sustainability, particularly in hilly regions. However, there remains a lack of clarity on how to effectively balance grain and non-grain production in relation to land remediation. Using Wannian County as a case study, we investigate the evolution of this by leveraging high-precision land surveys and satellite imagery. Through the application of bootstrapped partial linear regression models, we identify key influencers behind each type of NGPF. In proposing land remediation solutions, we integrate the results of NGPF and land quality evaluations to identify mismatches between non-grain production and land attributes (i.e., topography, geology, soil, and land use). Our findings reveal a substantial growth in NGPF, expanding from 3838.72 ha to 5659.64 ha (2010-2020), and predominantly occurring on farmland with favorable natural conditions and connected locations such as proximity to roads, town centers, and industrial plants. Surprisingly, the basic farmland protection policy shows limited effectiveness in curbing NGPF, except for garden operations. We identify 1674 NGPF patches suitable for conversion to grain production and provide land remediation suggestions tailored to low-quality farmland with specific natural barriers, thus complementing the demand for regional non-grain production. This study thereby innovatively proposes nature-based land remediation strategies to address the non-grain production dilemma by tailoring NGPF and land quality, offering valuable insights for sustainable farmland management in China and beyond.

Analysis of Characteristics and Driving Mechanisms of Non-Grain Production of Cropland in Mountainous Areas at the Plot Scale-A Case Study of Lechang City.

With the continuous advancement of urbanization and industrialization, non-grain production on cropland (NGPCL) is gradually becoming more widespread. This phenomenon will compress the space for grain production and trigger a global food crisis. How to scientifically understand and effectively control NGPCL has become a scientific issue. This study, conducted at the plot scale, establishes a measurement index for NGPCL and further explores the characteristics and driving mechanisms of NGPCL in mountainous areas. The results indicate the following: (1) Compared to plots for food-growing, plots for non-grain production tend to be more dispersed, with terraces showing the most significant dispersion, while plains exhibit the highest degree of aggregation. (2) In terms of irrigation conditions, irrigated land and dry land are more likely to undergo NGPCL. In terms of topography, slope croplands have the highest probability of being used for NGPCL. (3) Regions with steeper slopes, higher elevations, greater differences in altitude from the settlement, farther distances from settlements and roads, yet closer proximity to forests, are more likely to engage in NGPCL. (4) Different plot characteristics have varying impacts on NGPCL. Plot characteristics primarily affect the costs and returns of grain production, driving farmers to change their production patterns and triggering NGPCL.

Carbon footprint of farming practices in farmland ecosystems on the North and Northeast China plains.

Fast development of farming practices in China is projected to result in additional carbon emissions and thus affect farmland ecosystems' environmental performance. Based on 454 farm surveys on the North and Northeast China Plain, the carbon footprint (CF) of two farmland ecosystems (irrigated system for wheat and maize on the North China Plain and rainfed system for maize on the Northeast Plain) were assessed and emission reduction pathways explored by quantifying greenhouse gas emissions of agricultural inputs and farm practices during the entire crop growing seasons with an agricultural footprint model. The results demonstrated that the GHG emissions from wheat and maize rotation in the irrigated system were 7.63 t CO2 eq ha-1 and 3.17 t CO2 eq ha-1 for single season maize in the rainfed system. While energy consumption accounted for 12.5%-21.3% of the carbon footprint in both systems, the group assessment found that the largest difference in GHG emissions between the high and low emission groups came from mechanical energy consumption. Approximately 50.6% and 39.2% of the mechanical carbon footprint of wheat and maize, respectively, were caused by irrigation practices in the irrigated system. Regarding the rainfed system, where 46.6% of mechanical carbon emissions were generated by maize tillage operations. In addition, scenario analysis indicated that the mechanical carbon footprint could be reduced to 56 kg CO2 eq t-1 for NCP-wheat and 26 kg CO2 eq t-1 for NCP-maize, respectively, by optimizing yields and irrigation practices in irrigated systems and that the mechanical carbon footprint of NEP-maize could be reduced to 25 kg CO2 eq t-1 by optimizing yields and tillage practices in rainfed systems. Therefore, improvement in mechanization in irrigation and tillage practices can contribute to reduce GHG emissions in China. Water-saving irrigation technology is recommended in irrigated area and conservation tillage is recommended in rainfed agricultural area to reduce carbon footprints.

Trade-offs between economic benefits and environmental impacts in non-grain expansion: a case study in the eastern plain of China.

China has experienced a boom expansion of non-grain production in recent years. While the non-grain production can increase the economic benefits of farmers, its expansion has significant impacts on the ecological environment and agricultural sustainability. This study attempted to assess the trade-offs between the economic benefits and environmental costs of non-grain production and to provide reference for future land use management. Focusing on the non-grain expansion in Tongxiang City, eastern China, empirical models and field surveys were used to evaluate its environmental impacts and monetary analysis was used to assess the trade-offs between the economic benefits and environmental costs. The results showed that the area of non-grain production increased by 2464.74 ha from 2005 to 2020, and pond fish farming accounted for the largest proportion. The economic benefits and environmental costs of non-grain production increased continuously during 2005-2020, and the net economic-environmental benefits gradually expanded after 2010. Trade-off analysis indicates that the economic benefits of duck rearing did not compensate for the environmental costs, while the other non-grain productions did. Nevertheless, the potential impact of non-grain conversion on the local environment is still underestimated. Some suggestions are proposed to achieve a win-win situation between cultivated land utilization and ecological protection.

Coupling coordination analysis of population, economy and grain in major grain-producing counties.

This study discusses the coupling and coordination relationship among population, economy, and grain production in the central primary grain-producing counties. It aims to find a dynamic balance between the responsibility of the grain-producing areas in ensuring food security and the development of the economy and population. This study focuses on the main grain-producing provinces of Jilin and Jiangsu in China. Based on county-level data on population, economy, and grain production, it constructs an index system for the population, economy, and grain systems. The study employs the entropy weighting method and coupling coordination model to analyze the coupling coordination degree and coordinated development of the three systems in Jilin and Jiangsu provinces from 2000 to 2020, covering a span of 21 years. The coupling coordination degree and coordinated development of the three systems in the main grain-producing areas have gradually moved towards high-quality coordination. In the economically underdeveloped province of Jilin, factors such as geographical environment, population size, and industrial structure impose constraints on system coordination. In the economically developed region of Jiangsu, there is a high labour force and better development of the secondary and tertiary industries, but relatively less investment in agriculture, which affects overall coordination. It is necessary to promote regions' development with high-quality coordination by leveraging their advantages in economic foundations, and further advance the construction of the main grain-producing areas. Additionally, efforts should be made to strengthen policy support for underdeveloped regions, clearly define the industrial types and positioning of counties, and focus on industrial transformation and upgrading.

Productivity of soybean in management zones with application of different sowing densities / Produtividade da soja em zonas de manejo com a aplicação de diferentes densidades de semeadura

ABSTRACT: The present study aimed to assess the efficiency of sowing at variable rates for soybean cultivation in two management zones (MZs) which were defined based on stable attributes and correlated with productivity using the Fuzzy C-means clustering algorithm and the kriging interpolation.Seeding was carried out in the 2015/2016 and 2017/2018 crops with a variation of 20% of seeds and crop row spacing of 0.70m. In each MZ, 8 plots with higher and lower seed density were established. Productivity was measured using a harvest monitor connected to a harvester. Data were filtered and submitted to descriptive analysis. Productivity maps were generated using the inverse square distance interpolation for each seeding density. In the MZ with the highest productive potential (MZ 1), the productivity was 3.39 and 3.18t ha-1, and in the MZ with the lowest productive potential (MZ 2) the productivity was 3.30 and 3.11t ha-1 for the years 2016 and 2018, respectively. Interpolation estimated higher productivity with the application of 15 plants m-1. Based on the economic analysis, it is suggested in this study the application of 214,000 plants ha-1 in both MZs.

RESUMO: O trabalho avaliou a eficiência da semeadura à taxa variada para cultura da soja em duas zonas de manejo (ZMs), as quais foram definidas com base em atributos estáveis e correlacionados com a produtividade, por meio do algoritmo de agrupamento Fuzzy C-means e o interpolador krigagem. A semeadura foi realizada nas safras 2015/2016 e 2017/2018, com variação de 20% de sementes e espaçamento entre linhas de 0,70m. Em cada ZM foram estabelecidas 8 parcelas em que variou-se maior e menor densidade de sementes. A produtividade foi medida com monitor de colheita acoplado em uma colhedora. Os dados foram filtrados e submetidos à análise descritiva, os mapas de produtividade foram gerados utilizando-se o interpolador inverso do quadrado da distância para cada densidade de semeadura. Na ZM com maior potencial produtivo (ZM 1) a produtividade foi de 3,39 e 3,18t ha-1, na ZM de menor potencial produtivo (ZM 2) foi de 3,30 e 3,11t ha-1, para os anos de 2016 e 2018, respectivamente. O interpolador estimou maior produtividade com a aplicação de 15 plantas m-1; pela análise econômica, sugere-se, dentro do estudado, a aplicação de 214.000 plantas ha-1 nas duas ZMs.

Estratificação e dissimilaridade ambiental para avaliação de cultivares de soja no estado de Tocantins / Stratification and environmental dissimilarity for evaluation of soybean cultivars in the state of Tocantins

Em virtude da existência da interação cultivares x ambientes, torna-se pouco provável a superioridade de um cultivar em todos os ambientes. Neste sentido, com o intuito de avaliar a similaridade de ambientes e determinar o número de ambientes necessários para avaliação de cultivares, foram realizados oito ensaios de competição de cultivares no Estado do Tocantins. Quatro ensaios foram instalados em Gurupi, nas datas de 08/11, 19/11, 28/11 e 05/12/2006, e quatro no município de Alvorada, nas datas de 09/11, 23/11, 07/12 e 21/12/2006, sendo que cada ensaio representou um ambiente. O delineamento experimental utilizado foi de blocos casualizados, com sete tratamentos e quatro repetições. Os tratamentos constaram dos cultivares BR/EMGOPA 314, BRS Sambaíba, BRS Tracajá, DM-339, MSOY 108, M-SOY 8411 e M8866. Os métodos de agrupamento de ambientes utilizados foram a estratificação ambiental e a dissimilaridade, baseada na interação de ordem simples. Na análise de variância conjunta, houve efeito significativo da interação cultivares x ambiente, indicando uma inconsistência de comportamento dos cultivares com a variação ambiental, justificando-se os estudos de agrupamento de ambientes. Os dois métodos permitiram a formação de um único grupo de ambientes similares. Não houve concordância entre os métodos quanto à composição dos grupos formados. O método de estratificação ambiental resultou na formação de um grupo compreendendo três ambientes de Gurupi (19/11, 28/11 e 05/12) e dois ambientes de Alvorada (09/11 e 21/12). Entretanto, o método de dissimilaridade ambiental permitiu a formação de um grupo contendo apenas dois ambientes em Alvorada (09/11 e 23/11). Os métodos de agrupamento foram pouco sensíveis em detectar ambientes distintos representados por épocas de semeadura em um mesmo local

Because of the existence of genotype x environment interaction, it is unlikely the superiority of one cultivar in all environments. In this sense, in order to evaluate the similarity of environments and determine the number of environments for the assessment of cultivars, eight trials were carried out in the State of Tocantins. Four trials were carried out in Gurupi-TO, in the dates of 08/11, 19/11, 28/11 and 05/12/2006, and four trials were carried out in Alvorada-TO, in the dates of 09/11, 23/11, 07/12 and 21/12/2006. Each trial represented an environment. The experiment design was a randomized blocks with seven treatments (cultivars) and four replications. The cultivars were: BR/EMGOPA 314, BRS Sambaíba, BRS Tracajá, MD-339, M-SOY 108, M-Soy 8411 and M8866. The methods used were stratification and environmental dissimilarity cluster, based on the interaction of simple order. In the jointly analysis of variance there was significant effect of cultivar x environment interaction. There these indicated an inconsistency of the superiority of cultivars to environmental variation, justifying the studies of cluster environments. Both methods led to the formation of a single group of similar environments. There was no agreement between the methods regarding the composition of the groups formed. The environmental stratification method resulted in the formation of a group comprising three environments in Gurupi (19/11, 28/11 and 05/12) and two environments in Alvorada (21/12 and 11/09). However, the environmental dissimilarity method allowed the formation of a group containing only two environments in Alvorada (11/09 and 23/11). The clustering methods were less sensitive in detecting distinct environments represented by sowing dates in one place.

Avaliação agronômica do cultivo de milho em diferentes níveis de investimento / Agronomic evaluation of maize crop at different levels of investment

Com o objetivo de avaliar o desempenho agronômico de nove cultivares de milho, sendo cinco destinadas ao cultivo com baixo investimento e quatro cultivares destinadas ao cultivo sob condições de alto investimento, foram conduzidos dois experimentos no ano agrícola 2004/2005, em Lavras, MG. Em um dos experimentos, utilizou-se a densidade de semeadura de 55.000 plantas ha-1 e, no outro, 65.000 plantas ha-1. Em cada experimento, as nove cultivares de milho foram avaliadas em três níveis de adubação: (1) 300 kg ha-1 de 8-28-16 na semeadura, mais 200 kg ha-1 de 30-00-20, em cobertura; (2) 400 kg ha-1 de 8-28-16 na semeadura, mais 300 kg ha-1 de 30-00-20, em cobertura e (3) 500 kg ha-1 de 8-28-16 na semeadura, mais 300 kg ha-1 de 30-00-20 e 150 kg ha-1 de uréia, em cobertura. Os resultados permitiram concluir que a adubação de 500 kg ha-1 de 8-28-16 na semeadura, mais 300 kg ha-1 de 30-00-20 na primeira cobertura e 150 kg ha-1 de uréia na segunda cobertura proporciona aumento significativo na produtividade de grãos e na altura das plantas. O aumento da densidade de semeadura de 55.000 plantas ha-1 para 65.000 plantas ha-1 não influenciou a produtividade de grãos, mas, interferiu na altura de plantas e de espigas e na prolificidade. As cultivares destinadas ao alto investimento apresentam maior prolificidade, maior altura de planta e maior produtividade de grãos do que as cultivares destinadas ao baixo investimento.

With the aim of evaluating the agronomic traits in nine maize cultivars, five being considered for cultivation of low investment and four maize crops considered for high investment, two trials were carried out in the agricultural year 2004/2005, in Lavras, MG. One of the trials was carried out with plant density of 55.000 plants ha-1 and the other, 65.000 plants ha-1. In each trial the nine maize crops were carried out in three fertilizing levels: (1) 300 kg ha-1 of an 8-28-16 formula at the sowing date, with an additional 200 kg ha-1 of a 30-00-20 formula, for covering; (2) 400 kg ha-1 of 8-28-16 at the sowing date, with an additional of 300 kg of 30-00-20, for covering; (3) 500 kg ha-1 of 8-28-16 at the sowing date, with an additional of 300 kg ha-1 of 30-00-20 and 150 kg ha-1 of N, for covering. The results allowed concluding that fertilizing with 500 kg ha-1 of 8-28-16 at the sowing date, with an additional 300 kg ha-1 of 30-00-20 and 150 kg ha-1 of N, for covering, the maize crops showed expressive increase in the productivity of grains and plant height. The increase of plant density from 55.000 plants ha-1 to 65.000 plants ha-1 did not influence the productivity of the grains, but interfered in the plant height, ear length, and prolificacy. The maize crops of high input showed higher prolificacy, higher plant height and higher productivity of grains in relationship to the crops of low investment.