Climate Change Impacts on Legume Crop Production and Adaptation Strategies

Ahmed, Mukhtar; Sameen, Aashir; Parveen, Hajra; Ullah, Muhammad Inaam; Fahad, Shah; Hayat, Rifat

doi:10.1007/978-3-031-14973-3_5

Cited by 4 publications

(4 citation statements)

References 102 publications

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“…The observed findings corroborate those of Mkonda [29], who discovered a negative correlation between temperature and crop yields. Similar to this, Kariuki [37] demonstrated how temperature unpredictability reduced agricultural productivity.…”

Section: Correlation Analysis For Temperature Variability and Green G...supporting

confidence: 53%

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Effect of Rainfall and Temperature Variability on Green Gram Yield in Tharaka South Sub County, Tharaka Nithi County, Kenya

Mugure,

Kingori,

Muriithi

2023

IJECC

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Globally, green gram is a significant legume particularly in Arid and Semiarid Lands (ASALs), as a source of food, income, and soil enhancement. Despite this importance, green gram yield in Tharaka South Sub County is still too low at 560 kg/ha far below the crop’s estimated national potential of 1500 kg/ha and compares unfavorably with the global and national average of 730 kg/ha and 670 kg/ha, respectively. Green gram production is primarily rain-fed and variability in rainfall and temperature affects the ideal conditions favourable for the crop growth. This study aimed at quantifying the effect of rainfall and temperature variability, separately and jointly on green gram yield in Tharaka South Sub County, Tharaka Nithi County, Kenya for the period 2002-2021. Secondary data on seasonal rainfall, temperature, and green gram yield was collected from the Meteorological Services and County Department of Agriculture. Data was analysed using qualitative and quantitative methods by use of coefficient of determination, Analysis of Variance (ANOVA), correlation, and regression analysis. The study found that rainfall variability explained 30.4% of the variables affecting green gram yield. The findings of the model showed that a 1% increase in rainfall in March-April- May (MAM) season increased yield of green gram by 49.3% but no effect was observed in OND (October-November-December) season. Temperature variability explained 28.5% of the variables affecting green gram yield. Further, the model findings revealed that a 1% increase in temperature in OND season decreased yield of green gram by 48.5% and no effect was observed in MAM season. A combination of rainfall and temperature variability explained 34.2% of the variables affecting green gram yield. The model coefficients showed that a 1% increase in rainfall and temperature during the OND season increased yield of green gram by 16.2%. In addition, it was noted that a 1% rise in temperature and rainfall during MAM season reduced the output of green gram by 13.2%. The study concluded that rainfall and temperature had an effect on green gram yield and recommended that green gram farmers need to adapt to the changing climate to lessen the effects of climate change and for sustainable green gram production.

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Section: Correlation Analysis For Temperature Variability and Green G...supporting

confidence: 53%

“…It is also possible that increase in temperature may hasten the green gram growth period impacting negatively on yield. Ahmed [37] found that increase in temperature led to fast legume growth reducing the life cycle, grain filling period and reducing yield.…”

Section: Correlation Analysis For Temperature Variability and Green G...mentioning

confidence: 99%

Effect of Rainfall and Temperature Variability on Green Gram Yield in Tharaka South Sub County, Tharaka Nithi County, Kenya

Mugure,

Kingori,

Muriithi

2023

IJECC

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“…Soil heterogeneity refers to spatial variability in soil properties across landscapes as a result of diverse soil forming factors and processes [12] Modern techniques and technologies have enhanced our ability to measure and map soil heterogeneity [13].…”

Section: Introductionmentioning

confidence: 99%

“…Modern digital soil mapping and proximal soil sensing techniques are used to quantify and map soil spatial variability through statistical measures like semivariograms, autocorrelation, and heterogeneity indices [14,13]. Accounting for heterogeneity allows for site-specific management practices.…”

Section: Introductionmentioning

confidence: 99%

Iron Heterogeneity in Soil and its Relation to its Uptake by Water Leaf (Talinum Triangulaire L.)

Ogunlade-Anibasa, G.O.,

Aniki, S.O.,

Ameh, P.T.

et al. 2024

IJPSS

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This study investigated the relationship between iron (Fe) heterogeneity in soil and Fe uptake by water leaf (Talinum triangulaire). A greenhouse pot experiment was conducted with water leaf grown under three treatments; control (0mg/kg Fe added), homogeneous (1000mg/kg Fe added), and heterogeneous (simulated realistic heterogeneity) for six weeks after initial establishment in the nursery for four weeks). At harvest, plant samples were cut, washed, dried, milled into powder and analyzed for iron concentrations using the Atomic Absorption Spectrometer (AAS) Thermos Fisher Scientific Model 3000 ICE after acid digest by Nitric acid (HNO3). The mean root Fe concentrations of the control, homogeneous and heterogeneous treatments were 1263 ±154mg/kg, 1504 ±178mg/kg and 1393mg/kg ±140mg/kg respectively. The mean shoot Fe concentrations of the control, homogeneous and heterogeneous treatments were 904 ±174u mg/kg, 1401±117 mg/kg and 1045 ±95 mg/kg respectively. There was no statistically significant difference (p >0.005) in shoot and root Fe concentration between treatments. However, the homogeneous treatment was 0.19 times higher than the control and 0.07 times higher than the heterogeneous treatment. Iron level in the roots was 0.35 times high as the control and 0.25 times higher than the heterogeneous treatment. The Concentration factors for the control, homogeneous, and heterogeneous treatments were 0.1118, 0.1498 and 0.1258 respectively. The similarity in concentration factor between treatments showed that it is an accumulator of Fe and has the affinity for Fe irrespective of the varied soil concentrations. These findings indicate that water leaf possesses mechanisms enabling efficient Fe acquisition from variable soil conditions. Overall, the study provides initial evidence that water leaf is resilient to variability in soil Fe distribution, holding implications for its improved cultivation. However, further research on the specific genes and processes governing iron mobilization and uptake in water leaf is recommended.

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Impact of gibberellic acid GA3, quantum dot biochar, and rhizosphere bacteria on fenugreek plant growth and stress responses under lead stress

Shahzad,

Younis,

Ehsan

et al. 2024

Sci Rep

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Climate Change Impacts on Legume Crop Production and Adaptation Strategies

Cited by 4 publications

References 102 publications

Effect of Rainfall and Temperature Variability on Green Gram Yield in Tharaka South Sub County, Tharaka Nithi County, Kenya

Effect of Rainfall and Temperature Variability on Green Gram Yield in Tharaka South Sub County, Tharaka Nithi County, Kenya

Iron Heterogeneity in Soil and its Relation to its Uptake by Water Leaf (Talinum Triangulaire L.)

Impact of gibberellic acid GA3, quantum dot biochar, and rhizosphere bacteria on fenugreek plant growth and stress responses under lead stress

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