Predicting cropland and fertilizer consumption models and their effect on crop production in interior Jiangsu Province: a distributed autoregressive lag method DOI Creative Commons
Farheen Solangi, Xingye Zhu, Kashif Ali Solangi

и другие.

Cogent Food & Agriculture, Год журнала: 2024, Номер 10(1)

Опубликована: Дек. 10, 2024

Monitoring crop production has a direct effect on national and global economies plays significant role in food security. This study creates possible autoregressive integrated moving average (ARIMA) model that can estimate the past (2010 to 2022) future trends (2023 2035) for cultivated cropland fertilizer consumption their effects rice wheat production. The results demonstrated different variables such as cropland, rice, over time. Based ARIMA analysis, 2.4% 113% total reduction next 13 years respectively was predicted. Over years, of major crops, specifically wheat, is expected increase by 12.4% 25.9%, respectively. However, multiple linear regression showed change dependent consumption, with R2 values 61% 74%, respectively, predictive from analysis possibly an increasing trend estimating yields, minor highly decreased consumption. These highlight higher be achieved less inputs.

Язык: Английский

Responses of soil enzymatic activities and microbial biomass phosphorus to improve nutrient accumulation abilities in leguminous species DOI Creative Commons
Farheen Solangi, Xingye Zhu, Kashif Ali Solangi

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Май 15, 2024

Abstract Fertilizers application are widely used to get a higher yield in agricultural fields. Nutrient management can be improved by cultivating leguminous species order obtain better understanding of the mechanisms that increase amount available phosphorus (P) and potassium (K) through fertilizer treatments. A pot experiment was conducted identify (i.e., chickpea pea) under various Experimental design is as follows: T0 (control: no applied), T1: P applied at level (90 kg ha −1 ), T2: (K 90 T3: (PK both ). All treatments significantly ( p < 0.05) nutrient accumulation abilities enzymes activities. The T3 treatment showed highest N uptake 37.0%, compared T0. While developed greater pea 151.4% than control. However, also increased microbial biomass i.e., 95.7% 81.5% chickpeas peas, respectively, treatment. In chickpeas, T1 stimulated NAGase activities 52.4%, T2 URase 50.1% contrast, enhanced BGase Phase enzyme activities, 55.8% 33.9%, Only 149.7%, 111.9%, 81.1%, 70.0%) Therefore, adding combined K applications soil activity legume species, changes availability make it easier for plants nutrients.

Язык: Английский

Процитировано

12

Exploring the Influence of Different Water-Treatment Durations on the Initial Growth Stage of Different Maize Varieties DOI Open Access
Farheen Solangi,

Umair Asghar Solangi,

Nadeem Ahmed Buledi

и другие.

Polish Journal of Environmental Studies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Hydro-priming is a seed pre-treatment technique, explored as potential factor influencing the early seedling development of different maize cultivars.This study investigates germination rates, vigor, and other growth factors in planned way to help researchers identify best hydro-priming times for types maize.This will lead better farming methods higher crop yields.The objective this compare parameters varieties under various priming durations.In regard, laboratory experiments investigate influence treatments such P 0 , 1 2 3 4 by 0, 3, 6, 9, 12 h, respectively.Results showed that all upgraded parameters.The maximum (%) varieties, i.e., P4040 (95.2%),P1429 (94.1%), Akbar (88.2%), were recorded treatment compared control.At same time, greater shoot (46.4%) root (286.9%)dry matter noted (12 h) variety than treatment.

Язык: Английский

Процитировано

0

Predicting cropland and fertilizer consumption models and their effect on crop production in interior Jiangsu Province: a distributed autoregressive lag method DOI Creative Commons
Farheen Solangi, Xingye Zhu, Kashif Ali Solangi

и другие.

Cogent Food & Agriculture, Год журнала: 2024, Номер 10(1)

Опубликована: Дек. 10, 2024

Monitoring crop production has a direct effect on national and global economies plays significant role in food security. This study creates possible autoregressive integrated moving average (ARIMA) model that can estimate the past (2010 to 2022) future trends (2023 2035) for cultivated cropland fertilizer consumption their effects rice wheat production. The results demonstrated different variables such as cropland, rice, over time. Based ARIMA analysis, 2.4% 113% total reduction next 13 years respectively was predicted. Over years, of major crops, specifically wheat, is expected increase by 12.4% 25.9%, respectively. However, multiple linear regression showed change dependent consumption, with R2 values 61% 74%, respectively, predictive from analysis possibly an increasing trend estimating yields, minor highly decreased consumption. These highlight higher be achieved less inputs.

Язык: Английский

Процитировано

1