Impact of different irrigation regimes under varied planting density on growth, yield and economic return of cashew (Anacardium occidentale L.)

Mangalassery, Shamsudheen; Rejani, R.; Singh, Vijay Pratap; Adiga, J. D.; Kalaivanan, D.; Rupa, T. R.; Philip, Prabha Susan

doi:10.1007/s00271-019-00625-7

Cited by 12 publications

(7 citation statements)

References 21 publications

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“…Deficit irrigation is defined as the practice of applying irrigation less water than what is required to fully replace water used by the crop. It exposes the crop to periodic water deficit while enhancing WUE and MWUE [3,[19][20][21]. The aim of DI practices is to maintain soil water at a level that does not significantly limit crop yield while not completely filling the soil profile [19].…”

Section: Introductionmentioning

confidence: 99%

“…Whilst the concept of DI practices for cotton was proposed in the 1970s [20], to date, it is not a common practice in the MDB. A number of studies have shown that DI practices increase yield and WUE [21,22] while other studies showed no improvements or decreases in these indicators [19,23,24]. Properly managed, DI can sustain profits while reducing irrigation water usage during periods of reduced irrigation water availability [25].…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems

et al. 2021

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Irrigated cotton (Gossypium hirsutum L.) growers in the Murray-Darling Basin (MDB) of Australia, are challenged by limited water availability. This modelling-study aimed to determine if deficit irrigation (DI) practices can potentially improve water use efficiency (WUE) for furrow irrigation (FI), overhead sprinkler irrigation (OSI) and subsurface drip irrigation (SDI) systems. We validated the Agricultural Production System sIMulator (APSIM) against observed cotton lint yield and crop biomass accumulation for different management practices. The model achieved concordance correlation coefficients of 0.93 and 0.82 against observed cotton crop biomass accumulation and lint yields, respectively. The model was then applied to evaluate the impacts of different levels of DI on lint yield, WUE across cotton growing locations in the MDB (Goondiwindi, Moree, Narrabri, and Warren), during the period from 1977 to 2017. The different levels of DI for the FI system were no irrigation, full irrigation (TF) and irrigated one out of four, one out of three, one out of two, two out of three and two out of four TF events. For the OSI and SDI systems, DI levels were no irrigation, TF, 20% of TF, 40% of TF, 60% of TF and 80% of TF. Lint yield was maximised under the OSI and SDI systems for most locations by applying 80% of TF. However; modelling identified that WUE was maximised at 60% of full irrigation for OSI and SDI systems. These results suggest there are significant gains in agronomic performance to be gained through the application of DI practices with these systems. For FI, DI had no benefit in terms of increasing yield, while DI showed marginal gains in terms of WUE in some situations. This result is due to the greater exposure to periodic water deficit stress that occurred when DI practices were applied by an FI system. The results suggest that in the northern MDB, water savings could be realised for cotton production under both OSI and SDI systems if DI were adopted to a limited extent, depending on location and irrigation system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems

et al. 2021

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“…Meanwhile, δ 13 C of plants is also affected by many factors, such as competition between plants, different parts of plants and their surrounding environments, such as temperature, light, CO 2 concentration, and soil nutrients (Xu et al 2000;Sun et al 2003;Wang et al 2008;Xu et al 2009;Li et al 2017). Most studies have shown that δ 13 C of terrestrial plant organic matter is different between different types of plants, and plants are grown in different environments, hence it is possible to select plant varieties with improved WUE, based on specific site management factors (Afonso et al 2017;Fang et al 2018;Saha 2018;Mangalassery et al 2019). Many technologies can be used to improve WUE and productivity in orchards.…”

Section: Introductionmentioning

confidence: 99%

Genetic and environmental influence on foliar carbon isotope composition, nitrogen availability and fruit yield of 5-year-old mango plantation in tropical Australia

Sun

Ibell³

et al. 2021

J Soils Sediments

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The aim of this study was to quantify the effect of different varieties, planting densities, tree training systems and canopy aspect (north and south) on tree water use efficiency and nitrogen (N) availability in relation to mango fruit yield and fruit size as well as soil fertility (particularly total carbon (C) and total N as well as C and N isotope compositions) in a 5-year-old mango plantation of tropical Australia. Material and Methods Mango foliar samples were collected from a 5-year-old, factorial field experiment, where we tested the effects of two mango varieties (Calypso vs Keitt); two planting densities (medium vs high); two training systems (single leader vs conventional); and two sampling canopy aspects (north vs south) on foliar total C (%), total N (%), and stable C and N isotope compositions (δ 13 C and δ 15 N). The 0-10 cm of surface soils were also assessed for total C, total N, and δ 13 C and δ 15 N of different varieties, planting densities, and training systems. In addition, mango fruit yield, and fruit size were measured. Results There were significant genetic effects on foliar total N, tree water use efficiency (WUE) as reflected by foliar δ 13 C, N availability as indicated by foliar total N and δ 15 N, mango fruit yield, and fruit size in 5-year-old mango trees in tropical Australia. Overall, Keitt had higher foliar δ 13 C and N availability (higher total N and lower δ 15 N) as well as higher mango yield and greater fruit size, compared with those of Calypso. There were also significant environmental influences on foliar δ 13 C and N availability. In particular, high planting density had higher N availability (higher total N), and lower foliar δ 13 C as well as higher N loss (higher δ 15 N), compared with those of medium planting density. High planting density treatment also had higher soil total N, compared with that of medium planting density treatment. The conventional training system had higher N availability and foliar δ 13 C, compared with those of the single leader training system. The northern side of tree canopy (sunny side) had lower fruit number, compared with that of the southern side (shady side) of tree canopy. Conclusion There were significant genetic and environmental influences on tree WUE and N availability as well as mango fruit yield and fruit size in the 5-year-old mango trees. Among them, Keitt's fruit was significantly larger than Calypso and had higher foliar δ 13 C (higher WUE). Although high planting density increased soil total N, it also resulted in lower foliar δ 13 C and more N loss. Our results highlighted the significant potential for improvement of foliar δ 13 C and N availability as well as fruit yield and soil fertility with both genetic selection and site management regimes.

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“…Cashew is an important tropical nut tree cultivated in nearly 34 countries [11]. The crop is cultivated in 1.06 m ha area mainly along the West Coast and East Coast regions of India [12].…”

Section: Introductionmentioning

confidence: 99%

Improving the Productivity through Site-Specific Nutrient Management in Cashew through a Mobile App in Coastal India

Mangalassery

Preethi

Muralidhara

et al. 2020

CJAST

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Nutrient management plays a key role in the productivity and sustainability of land resources. Balanced application of mineral nutrition to the crops not only helps to realise increased yields but also to prevent land degradation. Cashew is generally grown as a rainfed crop in tropical regions with limited attention on nutrient management. Making an informed decision on the scientific aspects of the nutrient application in terms of the right amount, time and place of application are important for the growers. The mobile apps come handy in this direction because the farmers can themselves find out nutrient management schedule as per the field conditions. A mobile app for nutrient management in cashew was developed which takes care of varied field situations of farmers and was demonstrated in the farmer’s fields under participatory research mode. The app helped farmers to devise their own site-specific nutrient management. The field implementation for the site-specific nutrient management with the help of a mobile app showed improvement in soil and leaf nutrient status as well as the raw cashewnut yield. The yield improvement was in the range of 58 to 67% and the BC ratio was increased by 9 to 47% compared to the initial status. The mobile app DCR-Cashew Nutrient Manager was useful to empower the farmers, and field implementation was beneficial to improve the productivity, income and ecosystem sustainability by improving the nutrient balance in the soil.

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Impact of different irrigation regimes under varied planting density on growth, yield and economic return of cashew (Anacardium occidentale L.)

Cited by 12 publications

References 21 publications

Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems

Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems

Genetic and environmental influence on foliar carbon isotope composition, nitrogen availability and fruit yield of 5-year-old mango plantation in tropical Australia

Improving the Productivity through Site-Specific Nutrient Management in Cashew through a Mobile App in Coastal India

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