Muhammad Ashfaq

Bio: Muhammad Ashfaq is an academic researcher from University of Agriculture, Faisalabad. The author has contributed to research in topics: Biology & Irrigation management. The author has an hindex of 25, co-authored 177 publications receiving 2364 citations. Previous affiliations of Muhammad Ashfaq include James Hutton Institute & Sharif University of Technology.

Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan

Abstract: . Climate change is a global environmental threat to all economic sectors, particularly the agricultural sector. Pakistan is one of the countries negatively affected by climate change due to its high exposure to extreme events and low adaptive capacity. In Pakistan, farmers are the primary stakeholders in agriculture and are more at risk due to climate vulnerability. Based on farm household data from 450 households collected from three districts in three agroecological zones in the Punjab province of Pakistan, this study examines how farmers perceive climate change and how they adapt their farming in response to perceived changes in climate. The results demonstrate that awareness of climate change is widespread throughout the area, and farm households make adjustments to adapt their agriculture in response to climatic change. Overall 58% of the farm households adapted their farming to climate change. Changing crop varieties, changing planting dates, planting of shade trees and changing fertilizers were the main adaptation methods implemented by farm households in the study area. The results from the binary logistic model reveal that education, farm experience, household size, land area, tenancy status, ownership of a tube well, access to market information, information on weather forecasting and agricultural extension services all influence farmers' choices of adaptation measures. The results also indicate that adaptation to climate change is constrained by several factors such as lack of information, lack of money, resource constraints and shortage of irrigation water in the study area. Findings of the study suggest the need for greater investment in farmer education and improved institutional setup for climate change adaptation to improve farmers' wellbeing.

Impact of Climate Smart Agriculture (CSA) Practices on Cotton Production and Livelihood of Farmers in Punjab, Pakistan

Abstract: Cotton is the second largest crop of Pakistan in terms of area after wheat and is being suffered by multiple shocks over the time due to conventional agricultural management practices, climate change, and market failures. Climate Smart Agriculture (CSA) was introduced by the Food and Agricultural Organization (FAO) in 2010, as an innovative cleaner production alternative to conventional farming that aimed at increasing the efficiency of natural resources, resilience, and productivity of agricultural production system, while reducing greenhouse gas emissions. The adverse effects of climate change on cotton production at the farm and regional level can be minimized by using CSA practices and technologies. The present study investigated the financial performance and explored the impact of CSA through sustainable water use management on cotton production in Lower Bari Doab Canal (LBDC) irrigation system of Punjab, Pakistan by using Cobb-Douglas production function. The adopters of CSA in cotton cultivation were identified by conducting six focus group discussions. Data were collected through well-structured questionnaire from 133 adopters of CSA and 65 conventional cotton growers for the cropping season 2016–2017. It was found that water-smart (raising crops on bed, laser land levelling, conjunctive use of water and drainage management), energy-smart (minimum tillage), carbon-smart (less use of chemicals) and knowledge-smart (crop rotation and improved varieties i.e., tolerant to drought, flood and heat/cold stresses) practices and technologies of CSA were adopted by the cotton farmers in the study area. Most of the farmers were of the view that they are adopting CSA practices and technologies due to the limited supply of canal water, climate change, drought-prone, massive groundwater extraction, rapidly declining groundwater table and increasing soil salinity over the time. Results revealed that uniform germination, higher yield and financial returns, the concentration of inputs and increase in resource use efficiency are the main advantages of CSA. The econometric analysis showed that implementation of CSA practices and technologies as judicious use of water and fertilizer, groundwater quality, access to extension services, and appropriate method and time of picking have a significant impact on the gross value of cotton product (GVP). The findings of the study would be helpful for policy makers to formulate policies that can minimize farmer’s financial burden to adopt CSA technologies and implement for scaling out in Punjab and beyond.

Human biochemical genetics

Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to