Development of amplified fragment length polymorphism (AFLP) markers for the identification of Cholistani cattle

Conservation and upgradation of indigenous Cholistani cattle breed of Pakistan: a pathway to sustainable livestock

Pakistan is endowed with many established indigenous zebu Bos indicus type (humped) cattle breeds including Sahiwal, Red Sindhi, Bhagnari and Cholistani. Amongst these indigenous cattle breeds, Sahiwal and Red Sindhi have extensively been navigated and hence these two are acclaimed as internationally recognized breeds. However, research work on Cholistani cattle breed actually initiated in 2010 and has attained a steady pace. This breed was a new entrant in Livestock Census of Pakistan since 2006. Cholistani is a hardy, tick-resistant, adaptable cattle breed being reared under pastoral nomadism of the Cholistan desert, Pakistan. The present narrative review is the first of its kind intended to sum-up all the research work conducted about this indigenous cattle breed, and to put forth research gaps for this formerly neglected cattle breed. The review discusses the research work conducted on Cholistani cattle breed under five major research subjects/domains i.e. production attributes, theriogenology-related attributes, hematochemical attributes, disease, epidemiologic and therapeutic attributes, and genetic attributes. Future horizon for research avenues has also been given. It is the dire need of time that specific breed-oriented conservation and propagation programs may be initiated in the country so that sustained livestock and enhance socioeconomic profiling of rural communities may be attained.

An overview of remote monitoring methods in biodiversity conservation

Conservation of biodiversity is critical for the coexistence of humans and the sustenance of other living organisms within the ecosystem. Identification and prioritization of specific regions to be conserved are impossible without proper information about the sites. Advanced monitoring agencies like the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) had accredited that the sum total of species that are now threatened with extinction is higher than ever before in the past and are progressing toward extinct at an alarming rate. Besides this, the conceptualized global responses to these crises are still inadequate and entail drastic changes. Therefore, more sophisticated monitoring and conservation techniques are required which can simultaneously cover a larger surface area within a stipulated time frame and gather a large pool of data. Hence, this study is an overview of remote monitoring methods in biodiversity conservation via a survey of evidence-based reviews and related studies, wherein the description of the application of some technology for biodiversity conservation and monitoring is highlighted. Finally, the paper also describes various transformative smart technologies like artificial intelligence (AI) and/or machine learning algorithms for enhanced working efficiency of currently available techniques that will aid remote monitoring methods in biodiversity conservation.