Pakistan’s livestock sector is far more than a component of agriculture; for millions of rural households, it is a source of food, income, employment and financial security. Livestock contributes substantially to the country’s agricultural economy, while milk, meat and other animal products remain important to both rural livelihoods and national food security. Yet the productivity and resilience of livestock depend not only on nutrition, management and veterinary care, but also on the genetic potential of the animals themselves. For decades, livestock improvement in Pakistan has relied mainly on observable performance, pedigree information and conventional selection. These approaches remain important, but advances in genomics are changing what breeders can learn from an animal’s DNA. Genome-wide technologies now make it possible to investigate genetic variation associated with production, reproduction, disease resistance and environmental adaptation. This is particularly relevant to Pakistan, where livestock are raised under diverse production systems and frequently face heat stress, variable feed resources and endemic diseases. The real promise of genomics, therefore, is not simply to produce more milk, meat or offspring. It is to identify and utilize animals that can perform efficiently under the conditions in which Pakistani farmers actually operate. In this sense, animal genomics is becoming an important link between Pakistan’s existing livestock resources and the more precise breeding systems needed for the future.
Pakistan enters this genomic era with an important advantage: a remarkably diverse collection of indigenous animal genetic resources. Its cattle, buffaloes, sheep and goats have developed over generations under different ecological and management conditions, resulting in populations with distinct characteristics. Breeds such as Sahiwal and Red Sindhi cattle, Nili-Ravi and Kundi buffaloes, and numerous indigenous goat breeds are not simply traditional livestock populations; they represent reservoirs of genetic variation that may contain valuable traits for future breeding. Their importance becomes even greater as livestock production faces increasing pressure from climate variability, disease and limited resources. An animal that maintains reasonable production under heat, nutritional stress or disease pressure may ultimately be more valuable to a smallholder than one selected solely for high performance under ideal conditions. Genomic research is beginning to reveal this hidden diversity. Studies of indigenous Pakistani goat populations, for instance, have identified differences in genetic structure, diversity, inbreeding and selection patterns, while also detecting genomic regions associated with traits such as reproduction, body size and milk production. Similar interest is emerging around Pakistan’s buffalo populations because of their enormous importance to the country’s dairy sector. These findings highlight an important principle for Pakistan’s breeding future: genetic improvement should not mean simply replacing local animals with supposedly superior ones. It should begin with understanding what valuable characteristics already exist within indigenous populations and how those characteristics can be preserved and used more effectively.
One of the most noticeable trends in Pakistani animal genomics is the movement from basic genetic characterization toward genome-wide investigation. Earlier molecular studies generally examined a limited number of genetic markers to study breed relationships, diversity or population structure. Today, SNP genotyping and whole-genome sequencing allow researchers to examine genetic variation at a much larger scale and investigate how particular regions of the genome may have been shaped by natural or human selection. Pakistani goats have provided some of the clearest examples of this transition. Whole-genome studies of breeds such as Teddy, Kamori and Dera Din Panah have identified genomic regions showing signatures of selection and containing candidate genes potentially associated with growth, reproduction, milk production, body size, immunity and adaptation. Research involving several indigenous Pakistani goat populations has also revealed differences in population structure and evidence of admixture, providing a clearer picture of how these breeds are related to one another. The importance of this work goes beyond identifying individual genes. It provides an opportunity to understand why particular breeds possess characteristics that have allowed them to perform in specific environments. This represents a significant change in perspective. Instead of asking only which breeds are different, researchers can increasingly investigate which parts of the genome may contribute to the traits that make those breeds valuable. The same principle is highly relevant to Pakistani buffaloes and cattle, where much remains to be learned about the genetic basis of production, reproduction and adaptation.
The next challenge is to move from discovering genetic variation to using it in actual breeding decisions. This is where genomic selection could have a particularly important role. In simple terms, genomic selection uses information from across the genome together with performance data to estimate the genetic merit of an animal. This can allow promising animals to be identified at a much younger age than would be possible through traditional progeny testing alone, potentially reducing generation intervals and accelerating genetic progress. For Pakistan, this could be valuable for traits such as milk yield, growth and fertility, but the possibilities are broader. Heat tolerance, disease resistance, feed efficiency and reproductive performance may become increasingly important as livestock production faces environmental and economic pressures. Genomic selection could therefore help move breeding objectives beyond maximum production toward a more balanced combination of productivity, health and adaptability. However, it is important not to present genomic selection as a technology that can simply be purchased and installed. Its effectiveness depends on the availability of a suitable reference population containing animals with reliable genomic and phenotypic information. The quality of the predictions depends on how well that population represents the animals and production environments in which the breeding programme will operate. For Pakistan, this makes the development of reliable local data one of the most important steps toward making genomic selection practical.
This brings us to perhaps the most fundamental challenge facing animal genomics in Pakistan: the shortage of organized, high-quality phenotype and pedigree data. Genomic information becomes most useful when it can be connected with accurate measurements of real animals. In many Pakistani livestock production systems, however, systematic recording of milk yield, growth, fertility, disease, pedigree and other economically important traits remains limited. The situation is particularly difficult in smallholder systems, where animals are distributed across thousands of farms and management conditions can vary considerably from one household to another. Recent literature on Pakistani buffaloes has specifically highlighted scattered farming, limited data collection and the absence of organized breeding systems as major obstacles to applying advanced genomic technologies. This is a critical issue because a sophisticated sequencing platform cannot compensate for poor phenotypic records. A genome may contain millions of variants, but researchers still need reliable information about how those variants relate to traits expressed by animals in the field. Pakistan therefore needs to think of data collection as part of genomic infrastructure, rather than as a separate activity. Building well-designed recording systems for selected populations may ultimately be more valuable than simply increasing the number of animals being sequenced.
Cost and technical capacity add another layer to the problem. Genotyping and sequencing technologies have become more accessible, but a functional genomic breeding programme involves much more than collecting DNA samples. Samples must be collected systematically, laboratory data need to be quality-controlled, and genomic information has to be linked with reliable animal records. The resulting datasets require expertise in population genetics, quantitative genetics, statistics, bioinformatics and data management. These requirements can be demanding for developing livestock systems, where research funding and specialized infrastructure may already be limited. Pakistan nevertheless has an expanding scientific base in animal genetics, biotechnology and related disciplines, providing a foundation on which greater capacity can be built. The more realistic goal is not necessarily to sequence every animal or immediately establish a highly expensive national genomic programme. A phased approach may be more appropriate: identify priority breeds and traits, establish representative reference populations, improve performance recording, use affordable SNP genotyping where appropriate, and gradually integrate genomic information into existing breeding programmes. Collaboration between universities, government livestock departments, research institutes, breeders and farmers will be particularly important. Without such coordination, genomic research risks remaining concentrated in individual academic projects rather than becoming part of a functioning national breeding strategy.
Meanwhile, the field itself is moving rapidly toward technologies that go beyond conventional genome-wide SNP analysis. Whole-genome sequencing is becoming increasingly accessible, while approaches that combine genomics with transcriptomics, epigenomics, metabolomics and other forms of biological information are providing a more detailed understanding of complex traits. For Pakistan, these approaches could eventually help explain why some animals cope better with heat, disease or nutritional stress rather than simply identifying genomic regions associated with those characteristics. Gene editing is another emerging area that has attracted interest in livestock research, including discussions surrounding the improvement of native buffalo breeds. Such technologies may eventually provide new ways of addressing specific production or health-related traits. However, they should be viewed in the context of Pakistan’s current genomic needs. There is little value in moving immediately toward increasingly sophisticated technologies if basic population data, phenotypic recording and breeding structures remain weak. The immediate future is therefore likely to involve a combination of established breeding methods with increasingly powerful genomic and computational tools. As these technologies mature, their greatest value will come from solving problems that are specific to Pakistani livestock rather than simply following international trends.
The future of animal genomics in Pakistan will ultimately depend less on access to advanced technology and more on the ability to build a system that can use that technology effectively. Pakistan already possesses valuable indigenous livestock diversity and a growing body of research demonstrating the potential of genomic approaches. What remains is to connect these individual pieces into a more coordinated breeding framework. This means developing reliable genotype–phenotype databases, improving pedigree and performance recording, establishing representative reference populations, strengthening expertise in quantitative genetics and bioinformatics, and creating stronger links between researchers, government breeding programmes, industry and livestock farmers. Conservation must also remain part of this process, particularly for breeds and populations that carry unique adaptive characteristics. Genomics can help identify and document this diversity, but its ultimate value will be measured by whether that information improves real breeding decisions. Pakistan does not need to reproduce the livestock breeding systems of countries with very different environments and production structures. It needs a genomic strategy built around its own breeds, its own farmers and its own challenges. If that foundation is developed, genomics can move beyond being an emerging research field and become a practical tool for improving livestock productivity, resilience and long-term genetic sustainability in Pakistan.
