Determining effect of tree on wheat growth and yield parameters at three tree-base distances in wheat/Jand (Prosopis cineraria) agroforestry systems

Bajwa, G. Ali; Yang, Xiyu; -, Md. Abul Hayat; Muhammad, J.; Ali, F.; Quddoos, A.; Amin, M.; Khan, T. Ullah; Khan, Aman

doi:10.1007/s10457-022-00797-w

Cited by 7 publications

(6 citation statements)

References 44 publications

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“…Among these, MaxEnt tool is the most popular one, and works on the postulate of maximum entropy i.e. “how much choice is involved in the selection of an event” [ 10 ]. MaxEnt requires species presence data only, and also works efficiently even with the low number of species presence records, and has a user-friendly interface [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change

Ali¹,

Khan²,

Khan³

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change

Ali¹,

Khan²,

Khan³

et al. 2023

Heliyon

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“…Poor soil management and the replacement of native forests by agricultural land may compromise soil health. The dramatic changes in vegetation cover are expected to modify soil C content and nutrient cycling, thus impacting environmental equilibrium and sustainability [69]. The differences in SOC content in the different natural/plantation forests in the present study might be due to differential residue additions that can augment soil aggregation [70], and affect soil profile [71].…”

Section: Soil Parametersmentioning

confidence: 76%

Carbon Stock Assessment in Natural Forests and Plantations Using Geo-Informatics in Manipur, Northeast India

Wungshap,

Paul,

Bordoloi

et al. 2023

Agronomy

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Uncertainties continue to prevail in the potential of natural forests and plantations in carbon stock assessment. The present study was carried out to assess the carbon stock in natural and plantation forests of Manipur using geo-informatics in Imphal East and West districts. The integrated approach of geospatial technology, along with field inventory based data, was used in spatial modeling of biomass carbon of selected natural and plantation forests. The stand density was similar for both LNG and TRS forests (680 individuals ha−1) and lowest for KHP forest (640 individuals ha−1). Paulownia fortunei (770 individuals ha−1) showed highest density among tree species while Tectona grandis (54.07 m2 ha−1) followed by Gmelina arborea (42.18 m2 ha−1) had higher basal area compared to other tree species. The soil moisture content (%) in the natural forest ranged from 19.13 ± 0.47 to 26.9 ± 0.26%. The soil moisture content in the plantation forest ranged from 19.16 ± 0.98 to 25.83 ± 0.06%. The bulk density of natural forests ranged from 1.27 g cm−3 to 1.37 g cm−3 while for plantation forests it ranged from 1.18 g cm−3 to 1.34 g cm−3. Among the studied sites of natural forest, TRS forest had both the highest AGBC value of 132.74 t ha−1 as well as the BGBC value of 38.49 t ha−1. Similarly, among the plantations, T. grandis plantation showed the highest AGBC (193 t ha−1) and BGBC (55.97 t ha−1). On the other hand, Tharosibi forest and T. grandis plantation had the highest total carbon stock for natural and plantation forest with values of 274.824 t ha−1 and 390.88 t ha−1, respectively. The total above-ground carbon stock estimated for the natural forest of KHP, LNG and TRS were 109.60 t ha−1, 79.49 t ha−1 and 132.74 t ha−1, respectively. On the other hand, the estimated total above-ground carbon stock in plantation of GA, PD, PF and TG were 62.93 t ha−1 62.81 t ha−1, 45.85 t ha−1 and 193.82 t ha−1. In the present study, the relationship with the biomass was observed to be better in SAVI compared to NDVI and TVI. The linear regression analysis performed to determine the relationship between the estimated and predicted biomass resulted in a correlation coefficient of R2 = 0.85 for the present study area, which is an indication of a good relationship between the estimated and predicted biomass.

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“…Li Xuejun’s research suggested that marginal effects in regional wheat trials directly affect the economic yield and rank of various wheat materials [ 26 ]. When the height of crops in adjacent plots is different, the marginal effect is particularly significant [ 15 , 20 , 25 ]. Our research revealed not only the existence of edge effects in crop experiments but also the mechanism and degree of influence of high-stem wheat plots on short-stem plots.…”

Section: Discussionmentioning

confidence: 99%

“…Crop physiology and development can be greatly affected by numerous factors, including toxin levels, soil quality, fertility, irrigation techniques, and ecosystem variety [ 18 , 19 ]. In agroforestry, crop yields near trees are significantly reduced [ 20 ]. The above research indicates the universality of marginal effects under different crops and experimental conditions.…”

Section: Introductionmentioning

confidence: 99%

Environmental effects and their impact on yield in adjacent experimental plots of high-stem and short-stem wheat varieties

Ren,

Li,

et al. 2024

BMC Plant Biol

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Background In regional wheat trials, when short-stem wheat varieties and high-stem wheat varieties are planted adjacent to each other in small plots, changes in their marginal plot environment can lead to bias in yield evaluation. Currently, there is no relevant research revealing the degree of their mutual influence. Results In a regional wheat experiment, when high-stem wheat varieties and short-stem wheat varieties were planted adjacent to one another, there was no significant change in soil temperature or humidity in the high-stem wheat variety experimental plot from November to May compared to the control plot, while the soil humidity in the short-stem wheat variety experimental plot was greater than that in the control plot. In May, the soil temperature of the short-stem wheat varieties in the experimental plot was lower than that in the control plot. Illumination of the wheat canopy in the high-stem wheat variety experimental plot had a significant positive effect in April and May, while illumination of the wheat canopy in the short-stem wheat variety experimental plot had a negative effect. The chlorophyll fluorescence parameters of flag leaves in the high-stem wheat variety experimental plots showed an overall increasing trend, while the chlorophyll fluorescence parameters of flag leaves in the experimental plots of short-stem wheat varieties showed a decreasing trend. The analysis of the economic yield, biological yield, and yield factors in each experimental plot revealed that the marginal effects of the economic yield and 1000-grain weight were particularly significant and manifested as positive effects in the high-stem wheat variety experimental plot and as negative effects in the short-stem wheat variety experimental plot. The economic yield of the high-stem wheat variety experimental plot was significantly greater than that of the control plot, the economic yield of the short-stem wheat variety experimental plot was significantly lower than that of the control plot, and the economic yield of the high-stem experimental plot was significantly greater than that of the short-stem experimental plot. When the yield of the control plot of the high-stem wheat varieties was compared to that of the control plot of the short-stem wheat varieties, the yield of the control plot of the short-stem wheat varieties was significantly greater than that of the control plot of the high-stem wheat varieties. Conclusions Based on these findings, it is concluded that plots with high-stem and short-stem wheat varieties are adjacent in regional wheat trials, the plots of high-stem wheat varieties are subject to marginal positive effects, resulting in a significant increase in economic yield; the plots of short-stem wheat varieties are subject to marginal negative effects, resulting in a decrease in economic yield. This study reveals the mutual influence mechanism of environment and yield with adjacent planting of high-stem and short-stem wheat varieties in regional wheat trials, providing a useful reference and guidance for optimizing the layout of regional wheat trials.

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Determining effect of tree on wheat growth and yield parameters at three tree-base distances in wheat/Jand (Prosopis cineraria) agroforestry systems

Cited by 7 publications

References 44 publications

Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change

Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change

Carbon Stock Assessment in Natural Forests and Plantations Using Geo-Informatics in Manipur, Northeast India

Environmental effects and their impact on yield in adjacent experimental plots of high-stem and short-stem wheat varieties

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