Digital Green Revolution: ICAR’s plan to digitise breeding programmes of eight crops to double annual yield

Published: February 23, 2019 12:48:44 AM

The Rs 52 crore project is funded equally by ICAR and the Bill & Melinda Gates Foundation, which, according to Purvi Mehta—its head of agriculture in Asia—has an interest in improving the efficiency of plant breeding globally, and particularly in Africa and South Asia.

Digitising plant breeding management in India (Illustration: Rohnit phore)Digitising plant breeding management in India (Illustration: Rohnit phore)

By Vivian Fernandes

The Indian Council of Agricultural Research (ICAR) is moving its plant breeding management system to a digital platform over the next four years. The objective is to improve the efficiency of plant breeding. It intends to double the average annual yield gain of 0.8% obtained through genetic enhancement since the start of the Green Revolution in the mid-1960s, to 1.5% annually over the next couple of decades.

The Rs 52 crore project is funded equally by ICAR and the Bill & Melinda Gates Foundation, which, according to Purvi Mehta—its head of agriculture in Asia—has an interest in improving the efficiency of plant breeding globally, and particularly in Africa and South Asia.

This being the season of hyper-nationalism, there were disapproving murmurs at the launch event about the association with the Gates Foundation. An ICAR official who holds charge of two departments wondered whether it was necessary to take money from a foreign corporate entity.

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But pretensions to national greatness wilt when tested against the touchstone of reality. ICAR is not awash with funds. The 2016-17 budget of the Department of Agricultural Research and Education (DARE), which operates through ICAR, was `5,729 crore ($855 million). In 2017, Syngenta—a Swiss company acquired by China for its intellectual property in crop protection chemicals and plant traits—alone spent $1.27 billion on R&D. A few other farm-facing MNCs have larger research budgets.

The Green Revolution itself was facilitated by experts and material from a global partnership called the Consultative Group on International Agricultural Research (CGIAR), which was partially funded by the Rockefeller and Ford foundations. Their place has now been taken by philanthropies like the Gates Foundation, which, in 2017, contributed nearly $99 million (12%) of the grant revenue of CGIAR institutions.

Mehta said the funding did not come with strings attached. ICAR was not required to buy Microsoft software.

The digitisation project will cover eight crops: rice, wheat, maize, sorghum (jowar), pearl millet (bajra), chickpea (chana), pigeon pea (tur) and potato.

Plant breeding is tedious and time-consuming. EA Siddiq, who is in his 80s, says it took him 24 years to develop Pusa Basmati-1, the first high-yielding semi-dwarf variety of the aromatic rice. It was released in 1989. The next high-yielding basmati variety, which has been a hit in the export markets—Pusa Basmati 1121—was released 14 years later, in 2003, followed by a shorter duration version, Pusa Basmati 1509, in 2013.

But varietal development by central institutes, state agricultural universities and private companies takes place all the time. In rice, 1,552 varieties have been notified so far. For wheat, the number is 511. (Only a fraction of the notified varieties are currently cultivated.) Breeding and testing them at many locations is a multi-year process that requires collaboration among researchers.

Digitisation will enable speed and accuracy in data collection and compilation. Instead of notebooks, researchers will record data with hand-held devices that can scan, transfer information quickly to the internet, and disclose field locations with the help of satellites. Information will be recorded according to a format for uniformity. By scanning bar codes at the trial plots, information can be relayed quickly and accurately about the crops under observation.

Observations like plant height, panicle length, days to 50% flowering and days to maturity can be supplemented with visuals. Artificial intelligence and machine learning can be eventually deployed to make sense of the data by recognising optical patterns. In the current system, some of the information is lost in translation. Breeders may not commit to paper all that they observe, or they may record it with a lag.

The varieties of major crops that are released for cultivation in a state or multiple states are first tested in ICAR’s All India Coordinated Research Projects for respective crops. There are 28 of them including fruit and vegetable crops. Varietal release is a three-year process and a lot of data is generated. For basmati, there are at least seven public institutes that are engaged in research. The trials are done at 10 locations in the seven states that are officially permitted to certify their aromatic rice as basmati. They are coordinated by the Indian Institute of Rice Research in Hyderabad. Each institute may submit one or more entries for trial. At the annual rice group meeting in April, a decision is taken on the promising ones that should be tested. Seeds have to be made available at all the locations for timely sowing. Their performance in the field has to be compared against a set of parameters. The ones that are significantly better than the current benchmark or ‘check’ varieties are then notified for release through a process of elimination. Digitisation will enable simultaneous and collaborative research. It will aid coordination and also impose discipline.

Archival data from 180 trials coordinated nationally for the eight selected crops will also be migrated to the digital platform so that the genetic gain in each of the decades following the Green Revolution can be assessed.

Digitisation of breeding management is one aspect. Researchers will be trained in advanced tools for selection of plants that have the desired genes.

Conventional plant breeding depended heavily on the skill and knowledge of the breeder, says AK Singh, head of the Division of Genetics at the Indian Agricultural Research Institute, and project leader of the digitisation initiative. Breeders select plants on the basis of phenotypes or observable characteristics that are the result of their genetic make-up, the effect of the environment and the interaction between the two. But plants need to be selected for characteristics that can be passed on to their progeny. Measures such as the Genomic Estimated Breeding Value have a high correlation with the actual performance and can be derived by DNA profiling the plants under trial. This is possible for crops such as rice and wheat whose genomes have been entirely sequenced. Singh says that such tools eliminate even the need for field trials in early generations; the selection can be done from seedlings grown in trays in labs.

International institutes engaged in agricultural research are already on the Integrated Breeding Platform, which has been funded by the Gates Foundation and the United Nations’ International Fund for Agricultural Development. ICAR’s digitisation project will enable Indian researchers to collaborate seamlessly with them.

About 150 researchers will be trained in advanced genomic techniques and data analytics.

“This is a historic moment,” said Trilochan Mohapatra, director general, ICAR, and secretary, DARE, at the launch ceremony. But is productivity increase the need of the hour when farmers are complaining of low prices? Mohapatra says that enhancement of yield will bring down the unit cost of production and help increase the income of farmers (if their access to markets is not curbed, the supply chains are efficient, and scale economies are made possible through aggregation of both small producers and their plots). The country will also have to plan for the future. According to UN estimates, by 2024, India’s population will increase from 1.33 billion to 1.44 billion, surpassing that of China. By 2030, the country will have 1.5 billion people. And there will be less land available for cultivation. With modern techniques and digitisation of the system, desirable traits can be bred in plants more quickly. That would help address the paradox of India having the largest number of malnourished people despite self-sufficiency in food.

(The author obtained some of the data while working as part of ICRIER’s agri-research team.)

The author blogs at

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