Soybean is an annual legume with edible seeds. The soybean’s charcoal rot is one of the serious challenges faced in its cultivation regions, which brings severe production and economic losses. charcoal rot is the result of infection by the soil-borne fungus Macrophomina phaseolina. Though several researchers have made efforts to deal with soybean’s charcoal rot challenge, but at present, there are no soybean varieties in the market that are resistant to charcoal rot. The pathogen is thought to infect plants in their roots from contaminated soil, using unknown toxin-mediated processes. Conventional integrated approaches for managing charcoal rot in soybeans have been implemented in the field, but their efficacy is limited. So, developing soybean durable resistant varieties against M.phaseolina is the only solution to rescuing this crop. The potential approach is identifying new genetic sources and quantitative trait loci (QTLs) associated with resistance to charcoal rot in the resistant soybean population and conducting genome-wide association studies to increase understanding of underlying resistance mechanisms. The discovery of the genetic markers associated with resistance will contribute to charcoal rot resistance genotype selection for breeding programs in the future.
{"title":"The Problem of Charcoal Rot in Soybean, its Implications, and Approaches for Developing Resistant Varieties","authors":"Q. Khan, Ying Qin, Dao-Jun Guo","doi":"10.56946/jspae.v3i1.405","DOIUrl":"https://doi.org/10.56946/jspae.v3i1.405","url":null,"abstract":"Soybean is an annual legume with edible seeds. The soybean’s charcoal rot is one of the serious challenges faced in its cultivation regions, which brings severe production and economic losses. charcoal rot is the result of infection by the soil-borne fungus Macrophomina phaseolina. Though several researchers have made efforts to deal with soybean’s charcoal rot challenge, but at present, there are no soybean varieties in the market that are resistant to charcoal rot. The pathogen is thought to infect plants in their roots from contaminated soil, using unknown toxin-mediated processes. Conventional integrated approaches for managing charcoal rot in soybeans have been implemented in the field, but their efficacy is limited. So, developing soybean durable resistant varieties against M.phaseolina is the only solution to rescuing this crop. The potential approach is identifying new genetic sources and quantitative trait loci (QTLs) associated with resistance to charcoal rot in the resistant soybean population and conducting genome-wide association studies to increase understanding of underlying resistance mechanisms. The discovery of the genetic markers associated with resistance will contribute to charcoal rot resistance genotype selection for breeding programs in the future.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nasita Rahman Borny, G. Mostakim, Asif Raihan, Md Shoaibur Rahman
Returning straw to the field combined with nitrogen (N) fertilizer application is an effective way to enhance soil fertility. While previous studies have focused on soil's physical and chemical properties, the impact of straw returning on the microbial community has been less explored. In this study, we used four treatments including control (CK), nitrogen 150 kg ha−1 (N), straw return 10 tonnes ha−1 (SR), and combined SR and N (SRN= straw return 5 tonnes ha−1 + nitrogen 75 kg ha−1) to understand the effects of N fertilizer application and straw returning on bacterial community structure. Using high-throughput sequencing, we analyzed the bacterial community under different treatments and identified the main factors influencing soil bacterial communities. Results showed that soil properties such as pH, soil organic carbon (SOC), and available phosphorous (AP) were significantly higher in SR+N treatments. While AP, available nitrogen (AN), available potassium (AK), and total nitrogen (TN) were higher in sole N applied treatments. The results of high-throughput sequencing analyses demonstrated that the main bacteria at the phylum level were Actinobacteria (31-34%), Proteobacteria (25-30%), Acidobacteria (15-21%), and Chloroflexi (13-16%) across the treatments. Furthermore, the SR+N treatment exhibited the highest relative abundances of Dependentiae, Proteobacteria, Chloroflexi, and Bacteroidetes compared to all other treatments. Our results indicated that the combined application of straw return and N fertilizer enhanced soil fertility and increased the abundance of beneficial soil bacteria. Additionally, SOC emerged as the primary factor influencing variations in soil bacterial communities. However, several beneficial bacteria were less abundant in the combined treatment and more prevalent in the sole SR or sole N treatments. Thus, further research is necessary to develop new straw return strategies that optimize agricultural yields while minimizing ecological impacts.
{"title":"Synergistic Effects of Rice Straw Return and Nitrogen Fertilizer on Rhizosphere Bacterial Communities and Soil Fertility","authors":"Nasita Rahman Borny, G. Mostakim, Asif Raihan, Md Shoaibur Rahman","doi":"10.56946/jspae.v3i1.404","DOIUrl":"https://doi.org/10.56946/jspae.v3i1.404","url":null,"abstract":"Returning straw to the field combined with nitrogen (N) fertilizer application is an effective way to enhance soil fertility. While previous studies have focused on soil's physical and chemical properties, the impact of straw returning on the microbial community has been less explored. In this study, we used four treatments including control (CK), nitrogen 150 kg ha−1 (N), straw return 10 tonnes ha−1 (SR), and combined SR and N (SRN= straw return 5 tonnes ha−1 + nitrogen 75 kg ha−1) to understand the effects of N fertilizer application and straw returning on bacterial community structure. Using high-throughput sequencing, we analyzed the bacterial community under different treatments and identified the main factors influencing soil bacterial communities. Results showed that soil properties such as pH, soil organic carbon (SOC), and available phosphorous (AP) were significantly higher in SR+N treatments. While AP, available nitrogen (AN), available potassium (AK), and total nitrogen (TN) were higher in sole N applied treatments. The results of high-throughput sequencing analyses demonstrated that the main bacteria at the phylum level were Actinobacteria (31-34%), Proteobacteria (25-30%), Acidobacteria (15-21%), and Chloroflexi (13-16%) across the treatments. Furthermore, the SR+N treatment exhibited the highest relative abundances of Dependentiae, Proteobacteria, Chloroflexi, and Bacteroidetes compared to all other treatments. Our results indicated that the combined application of straw return and N fertilizer enhanced soil fertility and increased the abundance of beneficial soil bacteria. Additionally, SOC emerged as the primary factor influencing variations in soil bacterial communities. However, several beneficial bacteria were less abundant in the combined treatment and more prevalent in the sole SR or sole N treatments. Thus, further research is necessary to develop new straw return strategies that optimize agricultural yields while minimizing ecological impacts.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"22 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The declining productivity of apple trees can be attributed to the adverse effects of unbalanced climatic conditions and dynamic soil properties. Addressing these challenges through sustainable agricultural practices is crucial to improving apple orchard productivity and ensuring a resilient agricultural system. To enhance the function of fragile ecosystem services, the addition of biochar at an appropriate rate along with chemical fertilizers (NPK) is considered an efficient approach for improving apple trees productivity. The treatments combinations were 0 t ha-1 (Ck), 4 t ha-1 (T1), 8 t ha-1 (T2), 12 t ha-1 (T3), 16 t ha-1 (T4), and 20 t ha-1 (T5). Our results demonstrated that, biochar addition rate in the T5 significantly increased macro-aggregates (WSAs > 0.25 mm), mean weight diameter (MWD) and therefore decreased micro-aggregates (WSAs < 0.25 mm) compare to the control. Soil organic carbon (SOC) and total nitrogen (T.N) in both the bulk soil and water stable aggregates (WSAs) showed similar and an increased trend with biochar addition rate. However, the trend of C:N ratio was in opposition with biochar addition rate for both the bulk soil and WSAs. Additionally, biochar addition rate (T5) significantly intensified partitioning proportion (%) of the SOC, and T.N in WSAs > 0.25 mm, and WSAs < 0.25 mm and therefore showed non significance differences for the others treatments. Such a partitioning proportion of the WSAs 0.5-0.25 mm were lower than the WSAs > 0.5 mm and WSAs < 0.25 mm. These results suggested that biochar addition rate (T5) with chemical fertilizer had a significant effect on the stability of aggregates associated SOC, T.N, and C:N ratio and it may also have a capability in optimizing partitioning proportion (%) of the SOC and T.N in WSAs > 0.25 mm. Thus, it is therefore suggested that biochar addition rate (T5) with chemical fertilizers is the best preference for the stability and optimization of the aggregate associated SOC and T.N which may enhance partitioning proportion (%) of the SOC and T.N in an apple growing soil.
{"title":"Enhancing Apple Orchard Productivity through Biochar and Fertilizer Amendments: A Soil Aggregation Study","authors":"Azaz Shakir, J. Bocianowski","doi":"10.56946/jspae.v2i2.277","DOIUrl":"https://doi.org/10.56946/jspae.v2i2.277","url":null,"abstract":"The declining productivity of apple trees can be attributed to the adverse effects of unbalanced climatic conditions and dynamic soil properties. Addressing these challenges through sustainable agricultural practices is crucial to improving apple orchard productivity and ensuring a resilient agricultural system. To enhance the function of fragile ecosystem services, the addition of biochar at an appropriate rate along with chemical fertilizers (NPK) is considered an efficient approach for improving apple trees productivity. The treatments combinations were 0 t ha-1 (Ck), 4 t ha-1 (T1), 8 t ha-1 (T2), 12 t ha-1 (T3), 16 t ha-1 (T4), and 20 t ha-1 (T5). Our results demonstrated that, biochar addition rate in the T5 significantly increased macro-aggregates (WSAs > 0.25 mm), mean weight diameter (MWD) and therefore decreased micro-aggregates (WSAs < 0.25 mm) compare to the control. Soil organic carbon (SOC) and total nitrogen (T.N) in both the bulk soil and water stable aggregates (WSAs) showed similar and an increased trend with biochar addition rate. However, the trend of C:N ratio was in opposition with biochar addition rate for both the bulk soil and WSAs. Additionally, biochar addition rate (T5) significantly intensified partitioning proportion (%) of the SOC, and T.N in WSAs > 0.25 mm, and WSAs < 0.25 mm and therefore showed non significance differences for the others treatments. Such a partitioning proportion of the WSAs 0.5-0.25 mm were lower than the WSAs > 0.5 mm and WSAs < 0.25 mm. These results suggested that biochar addition rate (T5) with chemical fertilizer had a significant effect on the stability of aggregates associated SOC, T.N, and C:N ratio and it may also have a capability in optimizing partitioning proportion (%) of the SOC and T.N in WSAs > 0.25 mm. Thus, it is therefore suggested that biochar addition rate (T5) with chemical fertilizers is the best preference for the stability and optimization of the aggregate associated SOC and T.N which may enhance partitioning proportion (%) of the SOC and T.N in an apple growing soil.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"138 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138996947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To evaluate the impact of the long-term application of organic manures on yield, uptake of zinc and copper in maize, peas and summer mungbean cropping systems, a field study was conducted at the integrated farming system of Punjab Agricultural University, Ludhiana. The treatment combinations were; T1: 50% N through recommended NPK + 50% N was substituted through FYM, T2: 100% N through FYM, T3: T2 + intercropping (marigold in pea, cowpea in maize), T4: T2 + agronomic practices for weed and. pest control, T5: 50% N as FYM + rock phosphate to substitute the P requirement of crops + phosphate solubilizing bacterial. cultures (PSB), T6: T2 + biofertilizer (consortium) containing N and P carriers and T7: 100% Recommended NPK through chemical fertilizers. Significant increases in the yield, micronutrient content and uptake were recorded due to the application of 50% nitrogen through farmyard manure (FYM) and 50% of the recommended dose of fertilizers (T1) followed by 100% N through FYM + biofertilizer containing. N and P, carriers (T6). The highest grain yield of maize (5.72 t ha-1), pea (16.2 t ha-1) and summer mungbean (11.6 t ha-1) were recorded in treatment T1, surpassing the 100% recommended dose of fertilizer (T7) by 13.7%, 20% and 10.4 %, respectively. The concentration of copper (Cu) and zinc (Zn) in the grains of maize, pea and summer mung bean was 38.3%, 14.1%, 29.6% and 53.4%, 22.8 % and 19.8% higher in treatment T1 as compared to treatment T7. Moreover, the concentration of copper and zinc in the grains of maize, pea and summer mung bean was 32.1%, 24.2% and 29.5 % and 21.7%, 17.6% and 11.6% higher in treatment T1, respectively, compared to treatment T7. Similarly, the increase in the uptake of Cu and Zn was observed in both grain and straw of maize, pea and summer mung bean. The study concluded that the integrated nutrient management (INM) treatment is to substitute a portion of chemical fertilizers with a more sustainable and environmentally safe organic compost in order to mitigate soil degradation, improve crop production, and protect the environment.
{"title":"Impact of Long-Term Organic Manure Application on Yield, Zinc, and Copper Uptake in Maize, Peas, and Mungbean (Vigna radiata L.) Cropping System","authors":"Sushma Rani, Neeraj Chhatwal, Sohan Singh Walia","doi":"10.56946/jspae.v2i2.231","DOIUrl":"https://doi.org/10.56946/jspae.v2i2.231","url":null,"abstract":"To evaluate the impact of the long-term application of organic manures on yield, uptake of zinc and copper in maize, peas and summer mungbean cropping systems, a field study was conducted at the integrated farming system of Punjab Agricultural University, Ludhiana. The treatment combinations were; T1: 50% N through recommended NPK + 50% N was substituted through FYM, T2: 100% N through FYM, T3: T2 + intercropping (marigold in pea, cowpea in maize), T4: T2 + agronomic practices for weed and. pest control, T5: 50% N as FYM + rock phosphate to substitute the P requirement of crops + phosphate solubilizing bacterial. cultures (PSB), T6: T2 + biofertilizer (consortium) containing N and P carriers and T7: 100% Recommended NPK through chemical fertilizers. Significant increases in the yield, micronutrient content and uptake were recorded due to the application of 50% nitrogen through farmyard manure (FYM) and 50% of the recommended dose of fertilizers (T1) followed by 100% N through FYM + biofertilizer containing. N and P, carriers (T6). The highest grain yield of maize (5.72 t ha-1), pea (16.2 t ha-1) and summer mungbean (11.6 t ha-1) were recorded in treatment T1, surpassing the 100% recommended dose of fertilizer (T7) by 13.7%, 20% and 10.4 %, respectively. The concentration of copper (Cu) and zinc (Zn) in the grains of maize, pea and summer mung bean was 38.3%, 14.1%, 29.6% and 53.4%, 22.8 % and 19.8% higher in treatment T1 as compared to treatment T7. Moreover, the concentration of copper and zinc in the grains of maize, pea and summer mung bean was 32.1%, 24.2% and 29.5 % and 21.7%, 17.6% and 11.6% higher in treatment T1, respectively, compared to treatment T7. Similarly, the increase in the uptake of Cu and Zn was observed in both grain and straw of maize, pea and summer mung bean. The study concluded that the integrated nutrient management (INM) treatment is to substitute a portion of chemical fertilizers with a more sustainable and environmentally safe organic compost in order to mitigate soil degradation, improve crop production, and protect the environment.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"86 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maryam Adil, Muhammad Riaz, Muhammad Arif, Kashif Akhtar
Release and environmental consequences of drug residues pose a major challenge for soil quality management. This review aims to synthesis the literature related to the transformations of anticancer drugs at the soil-water interphase and their ecological effects. Pharmaceutical drugs, including anticancer drugs originate form point and non-point sources of human and animal background. While detrimental effects of anticancer drug residues on human health are widely reported, a relatively little body of knowledge focuses on their persistence, decomposition and interaction with soil biological health and quality. Assessment of the potential ecotoxicological effect of the residues of anti-cancer drugs is far less frequent compared to other xenobiotics. However, a substantial concern is growing to understand the fate of these drug residues in the environment, particularly, under high environmental risk scenarios. Sewage sludge and hospital wastewaters are the primary sources of anticancer drug residues into the soil and their effects and transformations in soil depend on nature and persistence of drug residues. Depending upon their structure, anticancer drug residues can undergo biodegradation and biochemical transformations to form highly mobile molecules, which move into surface and ground waters, ultimately end up in the soil to alter microbial communities and their functions associated with flow of energy, nutrient cycling and ecosystem functions. This manuscript reviews the behavior of anticancer pharmaceutical residue in the soil environment in terms of effects on soil functions and quality by summarizing the limited available data.
{"title":"Sources, Persistence, Ecotoxicology and Transformations of Anticancer Pharmaceutical Drug Residues in the Soil Environment: A Review","authors":"Maryam Adil, Muhammad Riaz, Muhammad Arif, Kashif Akhtar","doi":"10.56946/jspae.v2i2.215","DOIUrl":"https://doi.org/10.56946/jspae.v2i2.215","url":null,"abstract":"Release and environmental consequences of drug residues pose a major challenge for soil quality management. This review aims to synthesis the literature related to the transformations of anticancer drugs at the soil-water interphase and their ecological effects. Pharmaceutical drugs, including anticancer drugs originate form point and non-point sources of human and animal background. While detrimental effects of anticancer drug residues on human health are widely reported, a relatively little body of knowledge focuses on their persistence, decomposition and interaction with soil biological health and quality. Assessment of the potential ecotoxicological effect of the residues of anti-cancer drugs is far less frequent compared to other xenobiotics. However, a substantial concern is growing to understand the fate of these drug residues in the environment, particularly, under high environmental risk scenarios. Sewage sludge and hospital wastewaters are the primary sources of anticancer drug residues into the soil and their effects and transformations in soil depend on nature and persistence of drug residues. Depending upon their structure, anticancer drug residues can undergo biodegradation and biochemical transformations to form highly mobile molecules, which move into surface and ground waters, ultimately end up in the soil to alter microbial communities and their functions associated with flow of energy, nutrient cycling and ecosystem functions. This manuscript reviews the behavior of anticancer pharmaceutical residue in the soil environment in terms of effects on soil functions and quality by summarizing the limited available data.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"97 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This experiment was conducted to identify heat stress tolerant wheat genotypes using stress tolerance indices. A total of twenty wheat genotypes, provided by the National Wheat Research Program (NWRP) in Bhairahawa, were evaluated in both irrigated and heat stress environments. These genotypes comprised three Bhairahawa Lines (BL), fifteen Nepal Lines (NL), and two commercial checks—Bhrikuti and Gautam. The research was conducted at the Institute of Agriculture and Animal Science (IAAS) in Paklihawa, using alpha lattice design. Results showed that the mean grain yield of wheat was reduced by 24.82% under heat stress conditions as compared to irrigated conditions. Notably, mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), and yield index (YI) exhibited strong and highly significant positive correlations with yield under both irrigated and heat stress conditions. In contrast, tolerance index (TOL) and stress susceptibility index (SSI) displayed negative correlations under heat stress conditions. Genotype NL 1384 exhibited the highest MP, GMP, and STI, closely followed by NL 1417, establishing them as the most stable and productive genotypes. These findings suggest that these genotypes have the potential to be selected for high yields under both irrigated and heat stress conditions. The biplot analysis showed a positive correlation of MP, STI, GMP, YI, and yield stability index (YSI) with yield in the irrigated environment (Ys) and yield in the heat stress environment (Yp), and a negative correlation of stress susceptibility index (SSI), TOL, and reduction (Red). Hence, these indices could potentially be used for the evaluation of wheat genotypes under both irrigated and heat stress conditions.
{"title":"Identification of Heat Stress Tolerant Wheat Genotype Using Stress Tolerance Indices","authors":"Surakshya Sharma, Eishaina Chaudhary, Pratik Gautam, Rashmi Poudel, Sushma Sapkota, Sweksha Ghimire, Bibisha Timalsina, Puja Roka, Kriti Bhattarai, Manoj Pariyar, Kapil Neupane, Anil Aryal, Ganesh G.C, Mukti Ram Poudel, Radhakrishna Bhandari","doi":"10.56946/jspae.v2i2.185","DOIUrl":"https://doi.org/10.56946/jspae.v2i2.185","url":null,"abstract":"This experiment was conducted to identify heat stress tolerant wheat genotypes using stress tolerance indices. A total of twenty wheat genotypes, provided by the National Wheat Research Program (NWRP) in Bhairahawa, were evaluated in both irrigated and heat stress environments. These genotypes comprised three Bhairahawa Lines (BL), fifteen Nepal Lines (NL), and two commercial checks—Bhrikuti and Gautam. The research was conducted at the Institute of Agriculture and Animal Science (IAAS) in Paklihawa, using alpha lattice design. Results showed that the mean grain yield of wheat was reduced by 24.82% under heat stress conditions as compared to irrigated conditions. Notably, mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), and yield index (YI) exhibited strong and highly significant positive correlations with yield under both irrigated and heat stress conditions. In contrast, tolerance index (TOL) and stress susceptibility index (SSI) displayed negative correlations under heat stress conditions. Genotype NL 1384 exhibited the highest MP, GMP, and STI, closely followed by NL 1417, establishing them as the most stable and productive genotypes. These findings suggest that these genotypes have the potential to be selected for high yields under both irrigated and heat stress conditions. The biplot analysis showed a positive correlation of MP, STI, GMP, YI, and yield stability index (YSI) with yield in the irrigated environment (Ys) and yield in the heat stress environment (Yp), and a negative correlation of stress susceptibility index (SSI), TOL, and reduction (Red). Hence, these indices could potentially be used for the evaluation of wheat genotypes under both irrigated and heat stress conditions.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haq Nawaz, H. Akbar, Ahmad Masood Khan, Muhammad Arif, Madiha Arslan, Shahenshah, Muhammad Zuhair, Bismillah Khan
Green legume incorporation is an encouraging, at least unfinished, substitute for chemical fertilizers, particularly for nitrogen (N). The experiment was conducted in an RCB design with a split plot arrangement replicated four times. Pigeon pea green manuring (GM) of 3.4, 6.3 and 7.3 t ha-1 at pre flowering (GM1), at flowering (GM2) and post flowering (GM3) were assigned to the main plots, respectively, and nitrogen levels (N) (0, 70, 100 and 130 kg N ha-1) were allotted to the subplots. Results showed that GM2 significantly improved plant height (183 cm) and leaf area (393.6 cm2). Whereas, GM1 significantly enhanced biological yield (9826 kg ha-1), grain yield (3500 kg ha-1), thousand grain weight (203.6 g), grain ear-1(319), ear length (18 cm) and ear diameter (11.4 cm) as compared to GM2. Similarly, nitrogen application at the rate of 130 kg ha-1 resulted in taller plants, higher leaf area, thousand grain weight, biological and grain yields, harvest index, grains ear-1, ear height, length, weight and diameter than other N levels. The agronomic efficiency (AE) was significantly increased by 13.8 kg kg-1 and 11.8 kg kg-1 at GM1 and 70 kg N ha-1, respectively. It was concluded from the outcomes of the study that pigeon pea GM at pre flowering stage and 130 kg N ha-1 improved maize crop production.
绿色豆科作物是一种令人鼓舞的，至少未完成的化肥替代品，特别是氮肥的替代品。试验采用RCB设计，分畦布置重复4次。花前(GM1)、花期(GM2)和花期(GM3)分别施用3.4、6.3和7.3 t hm -1的绿肥(GM)，子区分别施用氮肥水平(N) 0、70、100和130 kg N hm -1。结果表明，GM2显著提高了株高(183 cm)和叶面积(393.6 cm2)。与GM2相比，GM1显著提高了生物产量(9826 kg ha-1)、籽粒产量(3500 kg ha-1)、千粒重(203.6 g)、穗数(319)、穗长(18 cm)和穗径(11.4 cm)。同样，与其他施氮水平相比，130 kg hm -1施氮水平的植株更高，叶面积、千粒重、生物产量和籽粒产量、收获指数、穗1、穗高、穗长、穗重和穗径也更高。在GM1和70 kg N hm -1处理下，农艺效率(AE)分别显著提高13.8 kg kg-1和11.8 kg kg-1。研究结果表明，花前期转基因鸽豆和130 kg N hm -1可提高玉米产量。
{"title":"Pigeon Pea Green Manuring and Nitrogen Fertilization Increase Agronomic Efficiency by Improving Yield and Ear Characteristics of Maize","authors":"Haq Nawaz, H. Akbar, Ahmad Masood Khan, Muhammad Arif, Madiha Arslan, Shahenshah, Muhammad Zuhair, Bismillah Khan","doi":"10.56946/jspae.v2i2.196","DOIUrl":"https://doi.org/10.56946/jspae.v2i2.196","url":null,"abstract":"Green legume incorporation is an encouraging, at least unfinished, substitute for chemical fertilizers, particularly for nitrogen (N). The experiment was conducted in an RCB design with a split plot arrangement replicated four times. Pigeon pea green manuring (GM) of 3.4, 6.3 and 7.3 t ha-1 at pre flowering (GM1), at flowering (GM2) and post flowering (GM3) were assigned to the main plots, respectively, and nitrogen levels (N) (0, 70, 100 and 130 kg N ha-1) were allotted to the subplots. Results showed that GM2 significantly improved plant height (183 cm) and leaf area (393.6 cm2). Whereas, GM1 significantly enhanced biological yield (9826 kg ha-1), grain yield (3500 kg ha-1), thousand grain weight (203.6 g), grain ear-1(319), ear length (18 cm) and ear diameter (11.4 cm) as compared to GM2. Similarly, nitrogen application at the rate of 130 kg ha-1 resulted in taller plants, higher leaf area, thousand grain weight, biological and grain yields, harvest index, grains ear-1, ear height, length, weight and diameter than other N levels. The agronomic efficiency (AE) was significantly increased by 13.8 kg kg-1 and 11.8 kg kg-1 at GM1 and 70 kg N ha-1, respectively. It was concluded from the outcomes of the study that pigeon pea GM at pre flowering stage and 130 kg N ha-1 improved maize crop production.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90440058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aimed of investigate the effects of foliar applications using different levels of herbicidal potential from two bacterial species and five aqueous plant extracts on the yield and yield components of Oryza sativa L. and Echinochloa crus-galli L. The study followed a split factorial design based on randomized complete block design (RCBD) with three factors and three replications during the 2017-2018 crop year. The primary treatments consisted of aqueous extracts from Sorghum, Broccoli, Nettle, Eucalyptus and Elderberry, as well as Streptomyces sp-albos containing thaxtomin, Xanthomonas campestris, and control s (without aqueous plant extracts and surfactant). The secondary factor involved foliar application treatments with varying levels of concentration, including zero (control), 5, 10, and 15 per thousand extracts and the third experimental factor included Oryza sativa L. and Echinochloa crus-galli L. The findings revealed that as the extract concentration increased, plant height, leaf area index (LAI), grain yield, biological yield, chlorophyll a, chlorophyll b, and total chlorophyll contents decreased. Conversely, grain starch content increased with higher extract concentrations, with the most pronounced effects observed at 15 per thousand extract concentration. It was also observed that the use of extracts led to reduced yield characteristics and components in both Oryza sativa L. and Echinochloa crus-galli L. Among the extracts, Elderberry extract exhibited the most significant negative impact. Comparatively, Oryza sativa L. demonstrated higher plant height, LAI, grain yield, biological yield, harvest index, chlorophyll content, grain protein content, and grain starch content when compared to Echinochloa crus-galli L. The results suggested that various extracts, particularly Nettle, along with 15 per thousand concentrations of Elderberry and Nettle extracts, hold potential for controlling Echinochloa crus-galli L. during the germination stage under field conditions.
{"title":"Dynamics of Herbicidal Potential: Effects of Two Bacterial Species and Five Aqueous Plant Extracts on Yield and Yield Components of Rice (Oryza sativa L.) and Surof (Echinochloa crus-galli L.)","authors":"Ebrahimpour Musa, K. Pourang, Larijani Hamid Reza, Tohidi Moghadam Hamid Reza, Honarmand Jahromy Sahar","doi":"10.56946/jspae.v2i1.111","DOIUrl":"https://doi.org/10.56946/jspae.v2i1.111","url":null,"abstract":"This research aimed of investigate the effects of foliar applications using different levels of herbicidal potential from two bacterial species and five aqueous plant extracts on the yield and yield components of Oryza sativa L. and Echinochloa crus-galli L. The study followed a split factorial design based on randomized complete block design (RCBD) with three factors and three replications during the 2017-2018 crop year. The primary treatments consisted of aqueous extracts from Sorghum, Broccoli, Nettle, Eucalyptus and Elderberry, as well as Streptomyces sp-albos containing thaxtomin, Xanthomonas campestris, and control s (without aqueous plant extracts and surfactant). The secondary factor involved foliar application treatments with varying levels of concentration, including zero (control), 5, 10, and 15 per thousand extracts and the third experimental factor included Oryza sativa L. and Echinochloa crus-galli L. The findings revealed that as the extract concentration increased, plant height, leaf area index (LAI), grain yield, biological yield, chlorophyll a, chlorophyll b, and total chlorophyll contents decreased. Conversely, grain starch content increased with higher extract concentrations, with the most pronounced effects observed at 15 per thousand extract concentration. It was also observed that the use of extracts led to reduced yield characteristics and components in both Oryza sativa L. and Echinochloa crus-galli L. Among the extracts, Elderberry extract exhibited the most significant negative impact. Comparatively, Oryza sativa L. demonstrated higher plant height, LAI, grain yield, biological yield, harvest index, chlorophyll content, grain protein content, and grain starch content when compared to Echinochloa crus-galli L. The results suggested that various extracts, particularly Nettle, along with 15 per thousand concentrations of Elderberry and Nettle extracts, hold potential for controlling Echinochloa crus-galli L. during the germination stage under field conditions.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73838099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article provides a thorough overview of a wide range of advanced statistical methods that have found extensive and resilient applications in the intricate field of spatial modeling for variables in a geographical information system (GIS) platform. The noteworthy triumph of these approaches can be due to a convergence of speed, dependability, precision, and an inherent eco-consciousness that coexist to reshape the scenario of environmental data analysis. The utilization of these models has outshined conventional methods in the present terrain of scientific investigation and environmental analysis, becoming an authentication of innovative research and decision-making procedures. These approaches demonstrate commendable data utilization efficiency by effectively accepting reduced sample sizes. This not only saves resources but also aligns with the ethical imperative of minimizing environmental effects wherever possible. Furthermore, the combination of these statistical techniques with GIS has paved the way that greatly expands their utility. This tool helps to discover deep spatial linkages, extrapolate trends, and findings into actionable insights that are relatable across all disciplines. These approaches encompass not only predictive modeling but also the realms of error assessment and efficiency evaluation. In conclusion, the adoption of these statistical methods is quite useful in facilitating sound decision-making environmental studies. Some of the domains include soil properties, air quality parameters, vegetation distribution, land cover and land use, water quality parameters, temperature and climate variables, natural hazards, urban infrastructure planning, ecological habitats, noise pollution levels, and radiation and exposure assessment. As the trajectory of scientific growth unfolds, these techniques will serve in directing researchers, practitioners, and policymakers to a future where empirical accuracy and environmental consciousness meet synergistically.
{"title":"Exploring Soil Spatial Variability with GIS, Remote Sensing, and Geostatistical Approach","authors":"Sangita Singh, K. Sarma","doi":"10.56946/jspae.v2i1.186","DOIUrl":"https://doi.org/10.56946/jspae.v2i1.186","url":null,"abstract":"This article provides a thorough overview of a wide range of advanced statistical methods that have found extensive and resilient applications in the intricate field of spatial modeling for variables in a geographical information system (GIS) platform. The noteworthy triumph of these approaches can be due to a convergence of speed, dependability, precision, and an inherent eco-consciousness that coexist to reshape the scenario of environmental data analysis. The utilization of these models has outshined conventional methods in the present terrain of scientific investigation and environmental analysis, becoming an authentication of innovative research and decision-making procedures. These approaches demonstrate commendable data utilization efficiency by effectively accepting reduced sample sizes. This not only saves resources but also aligns with the ethical imperative of minimizing environmental effects wherever possible. Furthermore, the combination of these statistical techniques with GIS has paved the way that greatly expands their utility. This tool helps to discover deep spatial linkages, extrapolate trends, and findings into actionable insights that are relatable across all disciplines. These approaches encompass not only predictive modeling but also the realms of error assessment and efficiency evaluation. In conclusion, the adoption of these statistical methods is quite useful in facilitating sound decision-making environmental studies. Some of the domains include soil properties, air quality parameters, vegetation distribution, land cover and land use, water quality parameters, temperature and climate variables, natural hazards, urban infrastructure planning, ecological habitats, noise pollution levels, and radiation and exposure assessment. As the trajectory of scientific growth unfolds, these techniques will serve in directing researchers, practitioners, and policymakers to a future where empirical accuracy and environmental consciousness meet synergistically.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"94 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72565027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Ali Shah, H. Ahmad, Fareed Ullah, F. Rehman, Syed Majid Rasheed
Evaluation of the breeding population is crucial for the selection of a superior genotype. Hence, the present study was conducted to assess genetic variation among five Brassica napus L. parents and their diallel hybrids to identify the best-performing parents and crosses. Heterosis and inbreeding depression were also assessed for the qualitative traits. Among the parental genotypes, Ancestor 2702 was identified as the best general combiner for protein (1.41%) and oleic acid content (1.21%). 2702×DUNCLED was the best specific combiner for oil content (0.78%), while 2702×2722 was recognized as best cross for linoleic acid content (1.3%). Similarly, DUNCLED×2702 was the best reciprocal cross for oil content (2.4%) and linoleic acid content (0.4 %), while P1-801×2702 was considered the best cross for protein content (2.2%) and oleic acid (1.7%). All the qualitative traits revealed a broad sense of heritability and non-additive type of gene action, which indicated the later generation selection for further improvement. High oleic acid content, preferred negative mid and best parent heterosis for erucic acid, glucosinolate and moisture contents was reported for 2702×DUNCLED. The favorable cross combination for protein and oil content was 2702×2722, which also yielded the positive mid and best parent heterosis. Inbreeding depression for qualitative traits ranged from -20.8% to 22.9%. It was concluded that among all the genotypes, accession 2702 was the best general, specific and reciprocal combiner, and the best parent heterosis for all traits when crossed with genotypes DUNCLED, P1-119 and 2722. It is also suggested that the screened crosses be carried to further generations to improve the quality related traits of Brassica napus. L.
{"title":"Elucidating Genetic Variability of Brassica napus L. Progenitors and Their Crosses for Enhanced Qualitative Traits","authors":"Muhammad Ali Shah, H. Ahmad, Fareed Ullah, F. Rehman, Syed Majid Rasheed","doi":"10.56946/jspae.v2i1.155","DOIUrl":"https://doi.org/10.56946/jspae.v2i1.155","url":null,"abstract":"Evaluation of the breeding population is crucial for the selection of a superior genotype. Hence, the present study was conducted to assess genetic variation among five Brassica napus L. parents and their diallel hybrids to identify the best-performing parents and crosses. Heterosis and inbreeding depression were also assessed for the qualitative traits. Among the parental genotypes, Ancestor 2702 was identified as the best general combiner for protein (1.41%) and oleic acid content (1.21%). 2702×DUNCLED was the best specific combiner for oil content (0.78%), while 2702×2722 was recognized as best cross for linoleic acid content (1.3%). Similarly, DUNCLED×2702 was the best reciprocal cross for oil content (2.4%) and linoleic acid content (0.4 %), while P1-801×2702 was considered the best cross for protein content (2.2%) and oleic acid (1.7%). All the qualitative traits revealed a broad sense of heritability and non-additive type of gene action, which indicated the later generation selection for further improvement. High oleic acid content, preferred negative mid and best parent heterosis for erucic acid, glucosinolate and moisture contents was reported for 2702×DUNCLED. The favorable cross combination for protein and oil content was 2702×2722, which also yielded the positive mid and best parent heterosis. Inbreeding depression for qualitative traits ranged from -20.8% to 22.9%. It was concluded that among all the genotypes, accession 2702 was the best general, specific and reciprocal combiner, and the best parent heterosis for all traits when crossed with genotypes DUNCLED, P1-119 and 2722. It is also suggested that the screened crosses be carried to further generations to improve the quality related traits of Brassica napus. L.","PeriodicalId":29812,"journal":{"name":"Journal of Soil, Plant and Environment","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86633254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：