Đang chuẩn bị liên kết để tải về tài liệu:
Identification and evaluation of potential trichoderma strains against colletotrichum capsici and Fusarium oxysporum f. sp. capsici causing anthracnose and wilt disease in chilli

Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ

Trichoderma spp. is biocontrol agents extensively used in management of fungal diseases of crop plants exhibiting mycoparasitism against a wide range of plant pathogens. Twelve Trichoderma isolates T. asperellum (7), T. harzianum (4) and T. longibrachiatum collected from ten district of U.P from chilli ecosystem were characterized for their antagonistic activity against Fusarium oxysporum f. sp. capsici and Colletotrichum capsici of chilli. The isolates revealed differential reaction pattern against the test pathogens. |

TÀI LIỆU LIÊN QUAN

Doctoral thesis summary: Evaluation on genetic diversity and identification molecular marker for Vietnamese native Dendrobium species

Identification of resistant sources in field evaluation of soybean (Glycine max (L.) Merr.) genotypes against pod blight and Rhizoctonia aerial blight

Identification of FGR gene and preliminary evaluation for agronomic traits of pandan sticky rice variety (Oryza sativa L.)

Systematic evaluation of the impact of ChIP-seq read designs on genome coverage, peak identification, and allele-specific binding detection

Evaluation of rice (Oryza sativa L.) germplasm for the identification of high folate accession using HPLC

Evaluation of disease intensity and molecular identification of Zymoseptoria tritici causing Septoria leaf blotch on wheat in the Eastern Mediterranean Region of Turkey

Evaluation of test crosses for identification of potential restorers and maintainers for development of rice hybrids (Oryza sativa L.)

Evaluation and identification of most promising genotypes for varietal development in amaranthus (Amaranthus paniculatus L.)

Evaluation and identification of promising lines for rain fed conditions in Indian Mustard (Brassica juncea L.)

Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy