Effects of tillage and organic fertilizer substitution of chemical fertilizer on anti-aging properties, photosynthesis and maize yield of maize leaves DOI Creative Commons

Guangming Xie,

Xin Zhang,

Xinrong Duan

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Abstract Corn is one of the favorite crops in China and grown a large area drought-tolerant areas. Tillage practices fertilizer management are important for crop growth, there lack research this area, especially places where rainfall scarce. Therefore, it great significance to explore anti-aging characteristics photosynthesis maize leaves by replacing inorganic with organic under different tillage methods. From 2022 2023, two methods, rotary + subsoiling (R S), three alternative (P1, P2, P3) four control CK treatments were used measure POD SOD enzyme activities, PRO MDA contents, yield at growth stages.The results showed that: (1) With advancement period, P1 treatment was optimal substitution application Obviously, R S farming superior traditional farming. The contents SOD, 41.89%, 56.95% 15.91% higher than those CK, 40.21%, 21.22% 16.94% P1, respectively, content 38.68% lower that 11.37% respectively. When P1 performed, resulting Pn 23.73% 6.01% P1. After S, Tr reduced 24.06% compared 11.14% R. (2)The S) always better (R) alone, Yield highest tillage, an average 13663.79kg/hm2, which 6.39% P2 treatment, 7.90% P3 14.67% Compared (R), obtained 2.53% higher.(3)At grain filling stage, superoxide dismutase (SOD) activity, peroxidase (POD) proline (PRO) content, net photosynthetic rate (Pn), number, ear length 100-grain weight significant positive correlation total yield, but negatively correlated bald tip length. According our experiment, can be seen activity instead chemical best, ability strongest, highest.

Язык: Английский

Measurement of irrigation management based on canopy-air temperature modeling for corn and wheat crops DOI

Zhenfeng Yang,

Juncang Tian, Zan Ouyang

и другие.

Plant and Soil, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0
Effects of Tillage and Substitution of Chemical Fertilizers with Organic Fertilizers on Leaf Physiological Characteristics and Yield of Maize DOI

Guangming Xie,

Xin Zhang,

Xinrong Duan

и другие.

International Journal of Plant Production, Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0
Relationships Between Oat Phenotypes and UAV Multispectral Imagery Under Different Water Deficit Conditions by Structural Equation Modelling DOI Creative Commons
Yayang Feng,

Guoshuai Wang,

Jun Wang

и другие.

Agronomy, Год журнала: 2025, Номер 15(6), С. 1389 - 1389

Опубликована: Июнь 5, 2025

The prediction of soil moisture conditions using multispectral data from unmanned aerial vehicles (UAVs) has advantages over ground measurements in terms costs and monitoring range. However, the accuracy for spectral alone is low. In this study, relationships between water deficits phenotypic characteristics oats were evaluated used to develop a UAV multispectral-based model. vegetation indices NDRE (Normalized Difference Red Edge), CIG (Chlorophyll Index), MCARI (Modified Chlorophyll Absorption Reflectance Index) highly correlated with oat yield. Based on multipath analysis structural equation modeling framework, irrigation (p < 0.01), leaf area index (LAI) 0.001), SPAD 0.001) had direct positive effects NDRE. Three distinct machine learning approaches—linear regression (LR), random forest (RF), artificial neural network (ANN) employed establish predictive models Normalized Edge Index (NDRE) content (SWC). linear model showed moderate correlation (R2 = 0.533). Machine approaches demonstrated markedly superior performance (RF: R2 0.828; ANN: 0.810). Nonlinear algorithms (RF ANN) significantly outperform conventional estimating SWC indices.

Язык: Английский

Процитировано

0
Simulating the Vertical Distribution of Soil Moisture for Winter Wheat Based on a Hydrodynamic-Processes-Driven Water Balance Model in the Huang-Huai-Hai Region, China DOI

Qianchuan Mi,

Meixuan Li,

Zhiguo Huo

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2
Microalgae–bacteria interaction: a catalyst to improve maize (Zea mays L.) growth and soil fertility DOI Creative Commons

Wogene Solomon,

Lamnganbi Mutum, Tibor Janda

и другие.

Cereal Research Communications, Год журнала: 2024, Номер unknown

Опубликована: Июль 30, 2024

Abstract Biofertilisers harbouring living organisms hold allure due to their prospective favourable influence on plant growth, coupled with a diminished environmental footprint and cost-effectiveness in contrast conventional mineral fertilisers. The purpose of the present study was evaluate capacity specific microalga (MACC-612, Nostoc linckia ) biomass growth-promoting bacteria (PGPB) separately together improve crop growth promote soil health. research used factorial design within completely randomised block framework, featuring four replications for three consecutive years across different fields. experiment utilised levels (control, 0.3 g/L N. , MACC-612, 1 MACC-612) bacterial strains Azospirillum lipoferum Pseudomonas fluorescens ). result demonstrated that use PGPB or jointly as treatment resulted substantial improvement chlorophyll, biomass, humus, nitrogen, depending conditions years. combined results an dry leaf weight by 35.6–107.3% at 50 days after sowing (DAS) 29.6–49.8% 65 DAS, compared control group. Furthermore, studies show synergistic application g/L, conjunction A. significantly improved total nitrogen (NO 3 − + NO 2 )-nitrogen, registering increases 20.7–40% 27.1–59.2%, respectively, during period. most effective combination identified through along . Hence, biofertilisers combinations two more microorganisms, such microalgae bacteria, holds promise improving nitrogen.

Язык: Английский

Процитировано

2
Zinc Nano and Zinc Ethylenediaminetetraacetic acid (EDTA) Mediated Water Deficit Stress Alleviation in Pearl Millet (Pennisetum glaucum (L.) R. Br.): Photosystem II Electron Transport and Pigment Dynamics DOI Creative Commons
Arun K. Shanker, V. Visha Kumari,

N. Jyothi Lakshmi

и другие.

Plant Stress, Год журнала: 2024, Номер 14, С. 100651 - 100651

Опубликована: Окт. 28, 2024

Язык: Английский

Процитировано

1
Evaluating the role of biopriming and nanopriming on the morphometric, biochemical, and yield parameters of Chickpea (Cicer arietinum L.) under drought stress DOI Creative Commons

Simran Rani,

Priyanka Dahiya,

Aarzoo Sharma

и другие.

Plant Stress, Год журнала: 2024, Номер 14, С. 100675 - 100675

Опубликована: Ноя. 13, 2024

Язык: Английский

Процитировано

1
Development of a Two‐Layer Meta‐Classifier–Based Drought Stress Detection System for Wheat Crop Sustainability DOI
Ankita Gupta,

Lakhwinder Kaur,

Gurmeet Kaur

и другие.

Опубликована: Сен. 25, 2024

Язык: Английский

Процитировано

0
Effects of tillage and organic fertilizer substitution of chemical fertilizer on anti-aging properties, photosynthesis and maize yield of maize leaves DOI Creative Commons

Guangming Xie,

Xin Zhang,

Xinrong Duan

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Abstract Corn is one of the favorite crops in China and grown a large area drought-tolerant areas. Tillage practices fertilizer management are important for crop growth, there lack research this area, especially places where rainfall scarce. Therefore, it great significance to explore anti-aging characteristics photosynthesis maize leaves by replacing inorganic with organic under different tillage methods. From 2022 2023, two methods, rotary + subsoiling (R S), three alternative (P1, P2, P3) four control CK treatments were used measure POD SOD enzyme activities, PRO MDA contents, yield at growth stages.The results showed that: (1) With advancement period, P1 treatment was optimal substitution application Obviously, R S farming superior traditional farming. The contents SOD, 41.89%, 56.95% 15.91% higher than those CK, 40.21%, 21.22% 16.94% P1, respectively, content 38.68% lower that 11.37% respectively. When P1 performed, resulting Pn 23.73% 6.01% P1. After S, Tr reduced 24.06% compared 11.14% R. (2)The S) always better (R) alone, Yield highest tillage, an average 13663.79kg/hm2, which 6.39% P2 treatment, 7.90% P3 14.67% Compared (R), obtained 2.53% higher.(3)At grain filling stage, superoxide dismutase (SOD) activity, peroxidase (POD) proline (PRO) content, net photosynthetic rate (Pn), number, ear length 100-grain weight significant positive correlation total yield, but negatively correlated bald tip length. According our experiment, can be seen activity instead chemical best, ability strongest, highest.

Язык: Английский

Процитировано

0