Production suitability of date palm under changing climate in a semi-arid region predicted by CLIMEX model

Farooq, Shahid; Maqbool, Muhammad Mudassar; Bashir, Muhammad Amjad; Ullah, Muhammad Ihsan; Shah, Rahmat Ullah; Ali, Hayssam M.; Farraj, Dunia A. Al; Elshikh, Mohamed S.; Hatamleh, Ashraf Atef; Bashir, Saqib; Wang, Yongfeng

doi:10.1016/j.jksus.2021.101394

Cited by 20 publications

(9 citation statements)

References 43 publications

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“…Khan et al [ 42 ] concluded that crude protein quality may be affected by N application as it is an essential part of protein, chlorophyll, and protoplast. Farooq et al [ 43 ] also reported similar results. These results are in line with [ 44 ] who observed higher crude fiber with 150 kg ha −1 N application.…”

Section: Discussionsupporting

confidence: 57%

The Impact of Seeding Density and Nitrogen Rates on Forage Yield and Quality of Avena sativa L

Kanwal¹,

Zubair

Rehman

et al. 2022

BioMed Research International

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Green forage is an excellent feed source for livestock. It is an integral part of livestock production to accomplish the demands for butter, milk, and other derivatives for human utilization. Livestock contributes 11.39% towards the gross domestic product of Pakistan and 58.33% in agricultural farming. Livestock face shortage or insufficient supply of green fodder during the winter season, which ultimately reduces milk yield. Oat (Avena sativa L.) is a major forage crop in the winter season; however, several biotic and abiotic factors negatively affect its yields. Low soil fertility, particularly nitrogen deficiency, is regarded as one of the few reasons responsible for the low forage yield of oat. Low organic matter content in the soil, suboptimal agronomic practices, and harsh climatic conditions are the other major reasons for low oat yield. Seed rate and different nitrogen rates significantly alter green forage yield and quality of oat. This study assessed the impact of different seeding densities and nitrogen (N) doses on the forage yield of oat. Three seeding densities (70, 80, and 90 kg ha-1) and five N doses (0, 40, 80, 120, and 160 kg ha-1) were included in the study. The interactive effect of seeding density and N doses significantly altered green forage yield and quality attributes of oat. The highest green forage yield (54.67 t ha-1) was noted for the interaction among 90 kg seed rate ha-1 and 160 kg N ha-1. Similarly, the highest germination count (140 m-2), number of tillers (5.97 m-2), plant height (122.97 cm), number of leaves per plant (24.50 m-2), leaf area per tiller (123.18 cm2), fresh weight (5.47 kg m-2), dry weight (1692 g m-2), dry matter yield (20.90 t ha-1), crude protein (10.54%), crude fiber (31.62%), and total ash (9.39%) were recorded for the interactive effect of 90 kg seed rate ha-1 and 160 kg N ha-1. Economic analysis revealed that interaction between 90 kg seed rate ha-1 with 120 and 160 kg N ha-1 was superior to others with higher benefit: cost ratio and net economic returns. It is recommended that the oat seed rate of forage oat crop must be kept at 90 kg ha-1 and it should be supplied 120 kg N ha-1 for higher yield, better quality, and more economic returns.

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Section: Discussionsupporting

confidence: 57%

The Impact of Seeding Density and Nitrogen Rates on Forage Yield and Quality of Avena sativa L

Kanwal¹,

Zubair

Rehman

et al. 2022

BioMed Research International

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“…); mite, Tetranychuscinnabarinus (Boise); spotted bollworm, Eariasinsulana (Boise); pink bollworm, Pectinophoragossypiella (Saund) and American bollworm, Helicoverpaarmigera (Hub.) [7]. The insect pest infestation cause deterioration in lint quality and 10-40% losses in crop production have been noted [8].…”

Section: Introductionmentioning

confidence: 99%

Effect of temperature & humdity on population dynamics of insects’ pest complex of cotton crop

et al. 2022

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The current study was directed to investigate the effect of temperature and humidity on insect pest complex of cotton. This study was carried out on the farmer field of a farmer of MouzaMehraywala tehsil and district Rajanpur southern part of the Punjab, Pakistan (29.1044° N, 70.3301° E) in the month of May, 2019 to November 2019. The climatic conditions of the study site were; a Rajanpur lie on 96m above sea level Rajanpur has a desert climate. During the year, there is virtually no rainfall. The average temperature in Rajanpur is 26.0°C | 78.8°F. Precipitation here is about 205 mm / 8.1 inch per year. Our results indicate that’s the correlation of temperature (minimum and maximum), humidity (minimum and maximum), rainfall and weather condition (clear or cloud), it is clear that except temperature there is a positive correlation of jassid population. While among the relation of jassid with different factor there is very weak relation with jassid population regarding temperature (-0.001), the relation of humidity, rainfall and sky condition with jassid population is positive and moderate (0.520, 0.668 & 0.575 respectively), while the relation of jassid population among these factor is significant except temperature. The results indicate that’s the correlation of temperature, humidity, rainfall and weather condition, it is clear that there is positive correlation of thrips population. While among the relation of thrips with different factor there is very weak relation of thrips population with temperature (.103), the relation of humidity, rainfall and sky condition with thrips population is positive and moderate (.515.751& .577 respectively), while the relation thrips population among these factor is significant except temperature. The results indicate that’s correlation of temperature, humidity, rainfall and weather condition, it is clear that there is positive correlation of Whitefly population. While among the relation of Whitefly with different factors there is very moderate relation of Whitefly population with temperature (.076), the relation of humidity, rainfall and sky condition with Whitefly population is negative and moderate (-.051.-.368 & -.559 respectively), while the relation Whitefly population among these factor is significant except temperature.

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“…Climex modeling, in addition to generating predictive models to guide future perspectives, can be used to understand events in the past [22]. This type of modeling can be used as a crop management tool, indicating suitable areas for cultivation in the face of climate change or analyzing the risk of pest [38,39]. When evaluating the history in the city where the first report of D. insularis resistant to glyphosate occurred, we noticed the same general behavior of the seasonal growth of the species, with values close to one and a fall in the winter months.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Distribution of Digitaria insularis: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil

et al. 2021

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The objective of this study was to model the spatio-temporal distribution of Digitaria insularis (D. insularis) and analyze the risk of selection of glyphosate-resistant biotypes in eucalyptus cultivation in Brazil. Global data on the distribution of the specie were collected and associated with their ideal growth characteristics. The models were generated using Climex software, providing a predictive modeling technique. Biological data, species distribution, and climatic parameters were used to predict and map potential areas for the species of interest through the combination of growth and stress indices, giving rise to the Ecoclimatic Index (EI). The spatial distribution of D. insularis is predominantly in South and Central America and southern North America. The model had a good fit with the collected data and predicted higher EI values for tropical and subtropical regions, as was the case in Brazil. Species growth can occur throughout the year, with lower rates in winter, mainly in the country’s southern regions. Brazil has high climatic suitability for the occurrence of Digitaria insularis. Due to the climate suitability evidenced by the models and the expressive use of the same active ingredient, there is a risk of selecting glyphosate-resistant Digitaria insularis biotypes in eucalyptus cultivation areas.

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Production suitability of date palm under changing climate in a semi-arid region predicted by CLIMEX model

Cited by 20 publications

References 43 publications

The Impact of Seeding Density and Nitrogen Rates on Forage Yield and Quality of Avena sativa L

The Impact of Seeding Density and Nitrogen Rates on Forage Yield and Quality of Avena sativa L

Effect of temperature & humdity on population dynamics of insects’ pest complex of cotton crop

Spatio-Temporal Distribution of Digitaria insularis: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil

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