Muhammad Kashif

Dr. Muhammad Kashif


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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20 September 2021 in Agronomy
Verified
Journal Article
Open access
PDF file
MZMuhammad Mubashar Zafar
Muhammad Mubashar Zafar
AMAbdul Manan
Abdul Manan
ARAbdul Razzaq
Abdul Razzaq
MZMisbah Zulfqar
Misbah Zulfqar
ASAsif Saeed
Asif Saeed
MRMaozhi Ren
Maozhi Ren
The development of high-yielding heat-tolerant cotton cultivars harboring plastic phenotypes across warming climatic regions is prime objectives of today’s cotton breeding programs. We evaluated eight parents and 15 F1 hybrids under normal and heat stress conditions. Agronomic and biochemical characters were analyzed using standard least square, correlation, principal component analysis (PCA), and hierarchical clustering. The results explained a significant reduction in all traits except hydrogen peroxide contents, catalase, and peroxidase activities with a prominent increase under heat stress. A significant positive correlation was observed among all agronomic and biochemical traits. POD was found to have a maximum positive correlation with CAT (0.947) and minimum with boll weight (0.050). PCA showed first two components accounting for 78.64% of the total variation, with 55.83% and 22.80% of the total variation, respectively. Based on multivariate analyses methods 23 genotypes have been placed in 3 groups: tolerant (cluster-3), moderately tolerant (cluster-2), and susceptible (cluster-1). In a general perspective hybrids have better performance across normal and heat stress supports the idea of hybrid adaptability across stress environments. In specific FH-458 × FH-313 cross performed best across both conditions for yield and physiological traits. Hence, the generated information from the present study would support breeders in developing heat-resilient cultivars to endure the prevailing extreme environmental conditions.

27 June 2022 in Plants
Verified
Journal Article
Open access
PDF file
SSSaira Saleem
Saira Saleem
MKMuhammad Kashif
Muhammad Kashif
RMRizwana Maqbool
Rizwana Maqbool
NANisar Ahmed
Nisar Ahmed
RARubina Arshad
Rubina Arshad
One hundred and five (105) bread wheat (Triticum aestivum L.) genotypes, including five commercial checks, were screened for stripe rust resistance at seedling and adult plant stages. Seedlings grown under controlled conditions were screened for disease resistance after 12 days concerning disease incidence percentage after inoculation. K-means cluster analysis divided the genotypes into five different classes according to the presence of virulence/avirulence profile, i.e., class 1, 2, 3, 4 and 5. The same set of genotypes was grown under field conditions for adult plant resistance. Data for disease scoring and different yield and yield-related parameters was recorded. A comparison of breeding lines indicated that all studied traits were negatively affected by disease incidence. Further cluster analysis ranked the genotypes into three distinct groups with Group I and III being the most diverse. Thirteen stripe rust resistance lines were identified using seedling and adult plant resistance strategies. Correlation analysis indicated a negative association between stripe rust incidence and yield and yield-related traits, particularly grains per spike, grain weight per spike, thousand-grain weight, and grain yield per plant. These findings suggested that stripe rust resistance negatively affects yield and yield related traits. The breeding programs aiming at the development of high yielding varieties must also focus on stripe rust resistance.

20 May 2021 in Cereal Research Communications
Verified
Journal Article
Closed access
PDF file
MAM. Alam
M. Alam
MKMuhammad Kashif
Muhammad Kashif
AEAmada Easterly
Amada Easterly
FWFANG WANG
FANG WANG
JJJeffrey Boehm Jr.
Jeffrey Boehm Jr.
PBPeter Stephen Baenziger
Peter Stephen Baenziger