Effect of precise levelling, tillage and seed sowing methods of pearlmillet based cropping systems on productivity and soil quality in dryland area

2021 ◽  
Vol 212 ◽  
pp. 105069
Author(s):  
Y.P. Singh ◽  
Sandeep S. Tomar ◽  
Sudhir Singh
Geoderma ◽  
2017 ◽  
Vol 292 ◽  
pp. 34-48 ◽  
Author(s):  
Sunanda Biswas ◽  
G.C. Hazra ◽  
T.J. Purakayastha ◽  
N. Saha ◽  
Tarik Mitran ◽  
...  

Author(s):  
H. Feng ◽  
G. O. Abagandura ◽  
S. Senturklu ◽  
D. G. Landblom ◽  
L. Lai ◽  
...  

Abstract Increasing crop diversity has been highly recommended because of its environmental and economic benefits. However, the impacts of crop diversity on soil properties are not well documented. Thus, the present study was conducted to assess the impacts of crop diversity on selected soil quality indicators. The cropping systems investigated here included wheat (Triticum aestivum L.) grown continuously for 5 years as mono-cropping (MC), and a 5-year cropping sequence [(wheat–cover crop (CC)–corn (Zea mays L.)–pea (Pisum sativum L.) and barley (Hordeum vulgare L.)–sunflower (Helianthus annuus L.)]. Each crop was present every year. This study was conducted in the northern Great Plains of North America, and soil quality data were collected for 2016 and 2017. Selected soil quality indicators that include: soil pH, organic carbon (SOC), cold water-extractable C (CWC) and N (CWN), hot water-extractable C (HWC) and N (HWN), microbial biomass carbon (MBC), bulk density (BD), water retention (SWR), wet soil aggregate stability (WAS), and urease and β-glucoside enzyme activity were measured after the completion of 5-year rotation cycle and the following year. Crop diversity did not affect soil pH, CWC, CWN, HWC, HWN and SWR. Cropping systems that contained CC increased SOC at shallow depths compared to the systems that did not have CC. Crop diversity increased WAS, MBC, and urease and β-glucoside enzyme activity compared with the MC. Comparison of electrical conductivity (EC) measured in this study to the baseline values at the research site prior to the establishment of treatments revealed that crop rotation decreased EC over time. Results indicate that crop diversity can improve soil quality, thus promoting sustainable agriculture.


2019 ◽  
Vol 281 ◽  
pp. 100-110 ◽  
Author(s):  
Felipe Bonini da Luz ◽  
Vanderlei Rodrigues da Silva ◽  
Fábio Joel Kochem Mallmann ◽  
Carlos Augusto Bonini Pires ◽  
Henrique Debiasi ◽  
...  

2020 ◽  
Vol 121 ◽  
pp. 126152
Author(s):  
S.R. Singh ◽  
Poonam Yadav ◽  
Dinesh Singh ◽  
M.K. Tripathi ◽  
Lal Bahadur ◽  
...  

1999 ◽  
Vol 28 (2) ◽  
pp. 169-181 ◽  
Author(s):  
Edward C. Jaenicke ◽  
Laurie E. Drinkwater

Traditional measures of productivity growth may not fully account for all sources of growth during the transition from conventional to alternative cropping systems. This paper treats soil quality as part of the production process and incorporates it directly into rotational measures of productivity growth. An application to data from an experimental cropping system in Pennsylvania suggests that both experimental learning and soil-quality improvements were important sources of growth during the system's transition.


Soil Research ◽  
2016 ◽  
Vol 54 (1) ◽  
pp. 20 ◽  
Author(s):  
Nirmalendu Basak ◽  
Ashim Datta ◽  
Tarik Mitran ◽  
Satadeep Singha Roy ◽  
Bholanath Saha ◽  
...  

Rice-based cropping systems are the foundation of food security in countries of Southeast Asia, but productivity of such systems has declined with deterioration in soil quality. These systems are different from other arable systems because rice is grown under submergence, and this may require a different set of key soil attributes for maintenances of quality and productivity. A minimum dataset was screened for assessing quality of soils belonging to three Soil Orders (Inceptisols, Entisols and Alfisols) by using statistical and mathematical models and 27 physical, chemical and biological attributes. Surface soils were collected from farmers’ fields under long-term cultivation of rice–potato–sesame cropping systems. Most of the attributes varied significantly among the Soil Orders used. Four or five key attributes were screened for each Soil Order through principal component and discriminate analysis, and these explained nearly 80% and 90% of the total variation in each Soil Order dataset. The attributes were dehydrogenase activity (DHA), available K, cation exchange capacity (CEC) and pHCa for Inceptisols; organic C, pHCa, bulk density, nitrogen mineralisation (Nmin) and β-glucosidase for Entisols; and DHA, very labile C, Nmin and microbial biomass C for Alfisols. Representation of the screened attributes was validated against the equivalent rice yield of the studied system. Among the selected key soil attributes, DHA and CEC for Inceptisols, organic C for Entisols, and Nmin and very labile C for Alfisols were most strongly correlated with system yield (R2 = 0.45, 0.77 and 0.78). Results also showed that biological and chemical attributes were most sensitive for indicating the differences in soil quality and have a strong influence on system yield, whereas soil physical attributes largely varied but did not predict system yield.


2016 ◽  
Vol 64 (2) ◽  
pp. 138 ◽  
Author(s):  
Nirmalendu Basak ◽  
Ashim Datta ◽  
Sunanda Biswas ◽  
Tarik Mitran ◽  
Biswapati Mandal

2017 ◽  
Vol 112 (09) ◽  
pp. 1882 ◽  
Author(s):  
Uttam Kumar Mandal ◽  
K. L. Sharma ◽  
K. Venkanna ◽  
Pushpanjali ◽  
Ravikant V. Adake ◽  
...  

2017 ◽  
Vol 63 (12) ◽  
pp. 1661-1675 ◽  
Author(s):  
P. C. Moharana ◽  
R. K. Naitam ◽  
T. P. Verma ◽  
R. L. Meena ◽  
Sunil Kumar ◽  
...  

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