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agriculture Archives - Page 6 of 28 - The Global Plant Council

Image: soy plant in the field, with close-up of soybean pod. Credit: Julio César García / Pixabay

BONZAI Genes and Salinity Stress: A Path to Sustainable Agriculture

By | Blog, ECRi, News, Post

In the field of agricultural science, understanding the intricacies of soybean resilience holds profound significance. Soybeans (Glycine max) are a pivotal crop species, highly regarded for their versatility and their substantial contribution to global food and feed supplies, as well as biofuel production. New research aims to shed light on the intricate mechanisms that govern the BONZAI genes, illuminating their pivotal role and the complexities of their regulated expression within saline environments.

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farmer working in a rice field

The cloning of the first genic dominant male sterility gene in rice may revolutionize breeding processes

By | Agriculture, News, Plant Science

Male sterility in plants enhances breeding and hybrid crop production. The elusive Sanming Dominant Genic Male Sterile (SDGMS) Rice, discovered in 2001, offered stable male sterility. Scientists recently unraveled the SDGMS gene’s mechanism. They found that in sterile plants, a retrotransposon triggers SDGMS expression in tapetal cells, causing male sterility. This discovery highlights the importance of transposable elements in genome evolution and the utility of SDGMS rice for efficient breeding without manual emasculation.

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Image: mixture of clean peppers or various colours. Credit: Kai Pilger / Pixabay

Unlocking the Genetic Code of Peppers: New Study Reveals Insights into Domestication and Diversity

By | Agriculture, News

Peppers are a versatile, flavorful, and widely popular crop, used not only as a healthy food source but also for their medicinal properties. In a new study, an international team of researchers has sequenced the genomes of key cultivated and wild pepper species, offering unprecedented insights into pepper evolution, domestication, and genetic diversity. 

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Image: For a cacao plant to bear such rich fruit, it needs effective pollination. A research group, in which JMU was involved, has investigated how this can best be achieved. Credit: Justine Vansynghel / Uni Würzburg)

Optimizing cacao pollination for higher yields

By | Agriculture, News

The success of cacao cultivation depends to a large extent on functioning pollination. If there is a lack of pollinators, for example, this leads to lower yields – and thus to financial problems for farmers. A study has now investigated how the yield and quality of organic cacao can be increased – through a more efficient plantation design that’s taking ecological aspects into account. During research in Peru, the researchers identified pollination techniques that improved pollination success and produced higher quality fruit.

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Image: Autumn leaves of wild grapevine that grows on salty soil. KIT researchers studied how that works. Credit: Maren Riemann, KIT. 

Researchers Study Salt Tolerance of Wild Grapevine to Make Crops More Resilient

By | Agriculture, Fruits and Vegetables, News

Rising sea levels due to climate change and artificial irrigation cause soil salinity to increase. This has a negative impact on agriculture, including viticulture. The plants die, yields decrease. Researchers have therefore studied a wild grapevine of higher salt tolerance. Their goal is to identify the genetic factors that make the grapevine resilient. They can then be inserted into commercial varieties, thus securing viticulture.

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Image: Rice field image. Credit: Pixabay

Disease-resistant plants may modulate disease susceptibility in their neighbors

By | Agriculture, News, Plant Science

Researchers discovered a form of social immunity in wheat and rice. Disease susceptibility in wheat and rice is modulated not only by genetic resistance traits, but also by interactions with neighbouring plants of the same species. The findings, show that inter-plant cooperation can reduce disease susceptibility by nearly 90 percent in certain cases, as much as is conferred by a plant’s own resistance genes. The findings create new possibilities for improving plant resistance to disease and reducing the use of pesticides.

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Image: tomato plant. credit: 1195798 / Pixabay

You say tomato, these scientists say evolutionary mystery

By | Agriculture, Fruits and Vegetables, News

Biologists have found evidence for evolutionary “syndromes”—sets of traits that occur together—that help to explain how tomatoes first evolved their distinctive blend of color, sweetness, acidity and aroma. The research, not only shines a light on how fruits evolve in the wild, but will also be valuable to crop-improvement efforts aimed at breeding more nutritious and appealing varieties of fruits.

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Image: Soil profile of a test field: - Samples the size of a brick were taken from the soil at different depths and the roots were then isolated, scanned and measured.  Credit: Johannes Siebigteroth / University of Bonn

Agriculture study delivers unexpected results: Cover crops and roots

By | Agriculture, Fruits and Vegetables, News

Farmers usually plant so-called cover crops after harvesting their main crop in the Fall. This prevents erosion of the soil and nutrient leaching. The roots of these crops also stabilize the structure of the soil. It had been assumed up to now that a mixture of different cover crops would result in particularly intensive rooting. However, a recent study found only limited evidence that this is the case. Instead, mixed cover crops grow thinner roots than when just one single type of cover crop is planted. This result was unexpected. It documents how little is currently understood about the interactions between plant roots.

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Image: Rice field image. Credit: Pixabay

Artificial Intelligence Can Now Estimate Rice Yields, According to New Study

By | Agriculture, News, Plant Science

The global demand for rice is projected to rise significantly by 2050, necessitating sustainable intensification of existing croplands. Now, researchers have made significant progress by developing deep-learning algorithms that can rapidly estimate rice yield through the analysis of thousands of photographs. The model exhibited high precision across diverse conditions and cultivars, surpassing previous methods, while effectively detecting yield differences between cultivars and also with different water management practices.

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