Muhammad Amjad Bashir

Dr. Muhammad Amjad Bashir


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 June 2022 in Sustainability
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NANouman Afzal
Nouman Afzal
Abdul BasitAbdul Basit
Abdul Basit
ADAdil Daniel
Adil Daniel
NINausheen Ilyas
Nausheen Ilyas
AIAsad Imran
Asad Imran
NRNazish Roy
Nazish Roy
Given that about 40% of the total food produced globally is lost or wasted, there is an urgent need to understand what, where, why and how much food waste is generated. In this study, we collected the much-needed primary empirical data from the restaurants, hotels and caterers of Lahore, Pakistan through surveys and live tracking/diaries. Specifically, two key performance indicators, waste per customer (g) and percentage waste per day (%), were measured. Waste per customer was found to be 79.9 g (survey) and 73.4 g (live tracking) for restaurants, 138.4 g for hotels and 140.0 g for caterers. Similarly, the percentage of waste per day (%) was found to be 15% (survey) and 17% (live tracking) for restaurants. Results revealed that customer plate leftovers were reported to be the primary source of food waste, followed by inaccurate customer forecasting. Given the food waste levels identified in this study, the development and adoption of a national goal and target aimed at food waste reduction could usefully guide the efforts of all stakeholders. To achieve this, we need to build the capacity of all the relevant stakeholders on food loss and waste measurements and ensure national food waste reporting.

6 May 2022 in PLOS ONE
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MBMuhammad Amjad Bashir
Muhammad Amjad Bashir
MBMunaza Batool
Munaza Batool
HKHuma Khan
Huma Khan
MNMuhammad Shahid Nisar
Muhammad Shahid Nisar
HFHasnain Farooq
Hasnain Farooq
RJRashid Jawad
Rashid Jawad
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.

4 March 2021 in Animals
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DMDina M. Metwally
Dina M. Metwally
SAshurug albasyouni
shurug albasyouni
IBIbrahim Barakat
Ibrahim Barakat
IAIsra M. Al-Turaiki
Isra M. Al-Turaiki
AAAmal Almuhanna
Amal Almuhanna
RAReem Atalla Alajmi
Reem Atalla Alajmi
Heads of sheep (n = 600) and goats (n = 800) slaughtered at Al-Aziziah Abattoir in Riyadh, Saudi Arabia, were inspected for the presence of O. ovis larvae (L). Heads were split along the longitudinal axes, and larvae (L1, L2, and L3) were gathered. The infestation rate was significantly higher in goats (44.5%; 356/800) than that in sheep (22.3%; 134/600). Out of the 151 collected larvae from sheep, 0% were L1, 1.3% were L2, and 98.7% were L3. Out of the total of 468 larvae from goats, 0% were L1, 1.2% were L2, and 98.8% were L3. The infestation rate was significantly higher in males than that in females. Myiasis-causing larvae collected from Riyadh, Saudi Arabia, were authenticated as O. ovis, according to morphological characteristics. Polymerase chain reaction (PCR) amplification of a partial fragment (600 bp) of the mitochondrial cytochrome c oxidase subunit I (mtCOI) gene further confirmed the species. Phylogenetic analysis based on the partial mtCOI gene sequence demonstrated that 23 unique sequences showed high similarity based on nucleotide pairs of O. ovis accessions retrieved from GenBank.

21 July 2020 in PLOS ONE
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HKHaider Karar
Haider Karar
MBMuhammad Amjad Bashir
Muhammad Amjad Bashir
MHMuneeba Haider
Muneeba Haider
NHNajeeba Haider
Najeeba Haider
Khalid Ali KhanKhalid Ali Khan
Khalid Ali Khan
SASuilman Mohammad Alghanem
Suilman Mohammad Alghanem
Cotton (Gossypium hirsutum L.), being a cash and fiber crop is of high significance in Pakistan. Numerous insect pests and viral diseases in Pakistan and around the world attack cotton crop. Genetically modified cotton (transgenic, resistant to lepidopteran insects), hereafter written as ‘Bt-cotton’ has been introduced in many regions of the world to combat bollworms. However, cultivars differ in their pest susceptibility, yield response and fiber quality traits. Nonetheless, recent studies have indicated that lepidopteran pests are evolving resistance against ‘Bt-cotton’. Several ‘Bt-cotton’ cultivars have been developed in Pakistan in the past decade; however, limited is known about their pest susceptibility, seed-cotton yield and fiber quality traits. This two-year field study evaluated pest susceptibility, yield and fiber quality traits of thirteen newly developed ‘Bt-cotton’ cultivars in Pakistan. The cultivars differed in their susceptibility to sucking insects during both years of study. The cultivars ‘FH-647’, ‘SLH-8’, ‘FH-Lalazar’ and ‘IUB-013’ were more susceptible to jassid, whereas ‘BS-52’ exhibited higher susceptibility to whitefly during both years of study. Similarly, cultivars ‘AGC-999’ and ‘MNH-992’ proved highly susceptible to thrips during each study year. Although ‘Bt-cotton’ is resistant to bollworms, cultivars ‘SLAH-8’, ‘VH-305’ and ‘BH-184’ were susceptible to spotted bollworm, while ‘SLAH-8’, ‘RH-647’ and ‘VH-305’ were infested by American bollworm. The most susceptible cultivars to cotton leaf curl virus (CLCuV) attack were ‘RH-647’, ‘IR-NIBGE-7’ and ‘VH-305’. The highest seed-cotton yield was recorded for ‘FH-Lalazar’ during both years of study. Similarly, the highest ginning out turn was recorded for cultivars ‘BS-52’, ‘VH-305’, ‘RH-647’, ‘IUB’ and ‘AA-919’. The cultivar ‘FH-Lalazar’ exhibited low pest susceptibility and CLCuV infestation compared to the rest of cultivars. The highest and the lowest gross and net incomes and benefit:cost ratio were noted for ‘FH-Lalazar’ and ‘RH-647, respectively. Keeping in view the low pest susceptibility and high seed-cotton yield, ‘FH-Lalazar’ could be recommended for higher yield and economic returns in Multan, Pakistan. Nonetheless, regional trials should be conducted for site-specific or region-specific recommendations.

30 December 2021 in PLOS ONE
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MSMussarat Shaheen
Mussarat Shaheen
HRHafiz Abdul Rauf
Hafiz Abdul Rauf
MTMuhammad Ahmed Taj
Muhammad Ahmed Taj
MAMuhammad Yousaf Ali
Muhammad Yousaf Ali
MBMuhammad Amjad Bashir
Muhammad Amjad Bashir
SASaad Alamri
Saad Alamri
Gossypium hirsutum L. is also called upland cotton or Mexican cotton. It is the most widely cultivated species of cotton in the whole world. Globally, about 90% of all cotton production comes from the cultivars derived from this species. Some genetic parameters like monopodial branches per plant, sympodial branches per plant, sympodial branch length, bolls per plant, boll weight, sympo-boll distance, Ginning Out Turn%, staple length (rg = 0.9199**), and fiber strength along with seed cotton yield were evaluated for their potential utilization via selection in seed cotton yield improvement. Significant positive genetic correlations were estimated for monopodial branches per plant (rg = 0.9722**), sympodial branches per plant (rg = 0.7098**), sympodial branch length (rg = 0.617**), bolls per plant (rg = 0.8271**), boll weight (rg = 0.8065**), sympo-boll distance (rg = 0.6507**), Ginning Out Turn (GOT)% (rg = 0.7541**), staple length (rg = 0.9199**), and fiber strength (rg = 0.7534**) with seed cotton yield. A path analysis of all the yield traits under study revealed strong positive direct effects of monopodial branch length (1.1556), sympo-boll distance (0.8173) and staple length (0.7633), while plant height exerted a highly strong direct negative effect (-1.2096) on yield. It is concluded that a direct selection based on monopodial branch length and sympo-boll distance, and staple length is effective, whereas, monopodial branch length, and sympodial branch length are good selection indicators via bolls per plant for yield improvement in cotton.

1 January 2022 in BioMed Research International
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AKAroosa Kanwal
Aroosa Kanwal
DZDawood Zubair
Dawood Zubair
RRRao Mehboob Ur Rehman
Rao Mehboob Ur Rehman
MIMuhammad Ibrahim
Muhammad Ibrahim
MBMuhammad Amjad Bashir
Muhammad Amjad Bashir
MAMohammad Javed Ansari
Mohammad Javed Ansari
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.