Forest observational studies: an alternative to designed experiments     

K. von Gadow  Xiu Hai Zhao  V. P. Tewari  Chun Yu Zhang  Ashwani Kumar  Jose Javier Corral Rivas  Rajesh Kumar 《European Journal of Forest Research》2016,135(3):417-431

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Carbon sequestration potential in agroforestry system in India: an analysis for carbon project     

Rajni Sharma  Sanjeev K. Chauhan  Abhishek M. Tripathi 《Agroforestry Systems》2016,90(4):631-644

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Estimation of area under agroforestry using high resolution satellite data     

Tauqueer Ahmad  Prachi Misra Sahoo  Sujit Kumar Jally 《Agroforestry Systems》2016,90(2):289-303

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The sustainable intensification of agroforestry in shifting cultivation areas of Bangladesh     

Tapan Kumar Nath  M. Jashimuddin  Md. Kamrul Hasan  Md. Shahjahan  Jules Pretty 《Agroforestry Systems》2016,90(3):405-416

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Modelling the current and potential future distributions of the sunn pest Eurygaster integriceps (Hemiptera: Scutelleridae) using CLIMEX          下载免费PDF全文

Rasha Aljaryian  Lalit Kumar  Subhashni Taylor 《Pest management science》2016,72(10):1989-2000

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Erratum to: Morpho-physiological parameters associated with iron deficiency chlorosis resistance and their effect on yield and its related traits in groundnut     

Ishwar H. Boodi  Santosh K. Pattanashetti  Basavaraj D. Biradar  Gopalakrishna K. Naidu  Virupakshi P. Chimmad  Anand Kanatti  Vinod Kumar  Manoj K. Debnath 《Journal of Crop Science and Biotechnology》2016,19(3):259-261

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Response of upland cotton (<Emphasis Type="Italic">G.hirsutum</Emphasis> L.) genotypes to drought stress using drought tolerance indices     

Chandrakant?SinghEmail author  Vijay?Kumar  Indivar?Prasad  Vishal?R.?Patil  B.?K.?Rajkumar 《Journal of Crop Science and Biotechnology》2016,19(1):53-59

Drought tolerance as such is often not considered to be an independent trait by plant breeders. The objective of this study was to evaluate eight drought tolerance indices, namely stress susceptibility index (SSI), yield stability index (YSI), yield reduction ratio (Yr), yield index (YI), tolerance index (TOL), mean productivity (MP), geometric mean productivity (GMP), and stress tolerance index (STI) in upland cotton (G. hirsutum L.) genotypes. For this purpose, 16 genotypes were sampled during the 2013-2014 growing seasons under both normal and drought-stress field conditions at the Main Cotton Research Station of Navsari Agricultural University, Surat, India. The drought tolerance indices were calculated based on seed cotton yield under drought stress and non-stress conditions. Mean comparison of drought tolerance indices and seed cotton yield validated the significant influences of drought stress on yield as well as significant differences among genotypes. Results of calculated correlation coefficients and multivariate analyses showed that GMP, MP and STI indices were able to discriminate drought-sensitive and tolerant genotypes. Cluster analysis using the drought-tolerance indices divided the 16 genotypes into tolerant and susceptible groups. Two genotypes, G.Cot.16 × H-1353/10 and H-1353/10 × G.Cot.16 gave good yield response under drought conditions leading to their stability during water stress conditions. Based on multivariate analyses using the indices individually or in combinations, it was possible to identify the most yield-stable genotypes across the environments. Overall, we concluded that GMP, MP and STI indices can be efficiently exploited not only for screening drought tolerance but also to identify superior genotypessuitable for both stress and non-stress field conditions.  相似文献   

Assessment of Heavy Metals in Spinach (Spinacia oleracea L.) Grown in Sewage Sludge–Amended Soil     

Vinod Kumar  A. K. Chopra  Sachin Srivastava 《Communications in Soil Science and Plant Analysis》2016,47(2):221-236

The assessment of heavy metals in spinach (Spinacia oleracea) grown in sewage sludge–amended soil was investigated. The results revealed that sewage sludge significantly (P < 0.01) increased the nutrients and heavy metals such as cadmium (Cd), chromium (Cr), copper (Cu), manganese (Mn), and zinc (Zn) in the soil. The contents of metals were found to be below the maximum levels permitted for soils in India. The most agronomic performance and biochemical components of S. oleracea were found at 50% concentrations of sewage sludge in both seasons. The contents of Cd, Cr, Cu, Mn, and Zn in S. oleracea were increased from 5% to 100% concentrations of sewage sludge in both seasons. The order of contamination factor (Cf) of different heavy metals was Mn > Cd > Cr > Zn > Cu for soil and Cr > Cd > Mn > Zn > Cu for S. oleracea plants after application of sewage sludge. Therefore, use of sewage sludge increased concentrations of heavy metals in soil and S. oleracea.  相似文献   

Morphophysiological Traits Imparting Salinity Tolerance in Maize (Zea mays L.) Hybrids under Saline Water Irrigation in Vertisols     

Indivar Prasad  G. Gururaja Rao  Anil R. Chinchmalatpure  Shrvan Kumar  Nikam Vinayak Ramesh  Chandrakant Singh 《Communications in Soil Science and Plant Analysis》2016,47(16):1930-1939

Maize is categorized as a salt-sensitive crop and identification of fairly salt-tolerant lines is of paramount importance for increasing its production on saline soils. Experiments were conducted in randomized block design with three replications to identify maize accessions showing response to saline water irrigation, traits imparting tolerance, and their effect on yield attributes of maize. Significant variation was present among genotypes for specific leaf area (SLA), potassium (K) content, cob characteristics, yield, biomass, and harvest index. High amount of heritability with large genetic advance indicated the presence of additive gene action for traits like leaf water potential and leaf dry weight. Association analysis revealed high correlation between key traits and direct as well as positive effect of these traits on yield. Principal component analysis resolved three principal components, and high leaf area and water potential were conferring salt tolerance and thus higher yield.  相似文献   

Application of QUEFTS Model for Site-Specific Nutrient Management of NPK in Sweet Potato (Ipomoea batatas L. Lam)     

Prince Kumar  B. P. Singh  J. S. Minhas  V. K. Dua 《Communications in Soil Science and Plant Analysis》2016,47(13-14):1599-1611

Sweet potato productivity in India is either stagnated or lowering down over the past many years. The main reasons for low yield are conventional blanket recommendation of fertilizers, lower nutrient-use efficiency and imbalance in the use of fertilizers. Recommendation of major nutrients, nitrogen, phosphorus, and potassium (NPK), based on quantitative approaches will augment sweet potato production per unit area by increasing the nutrient-use efficiency. The present study calibrated the Quantitative Evaluation of Fertility of Tropical Soils (QUEFTS) model for the estimation of NPK requirements and fertilizers recommendations for different target yields of sweet potato. The QUEFTS basically works on the principle of NPK nutrient interactions and climate-adjusted yield potential of a region. Published data sets from several field experiments related to NPK carried out till date were collected to reflect the environment variability. The results of the present study showed that to produce one ton tuber, 16:6:18 kg N, P, and K, respectively, would be needed with the internal efficiencies of 61:167:57 kg tubers kg^?1 NPK removed. The maximum accumulation and dilution (kg tuber kg^?1 nutrient removed) of N (40, 80), P (96, 272), and K (30, 85) were also derived as standard parameters in QUEFTS for optimum fertilizer recommendation in tropical and subtropical regions of India. The observed yields of sweet potato with different amounts of nutrients were in agreement with the values predicted by the model. Therefore, it is utmost important to have the results of the study validated in major growing environments of India for fertilizer recommendation in sweet potato.  相似文献