COMPARATIVE ASSESSMENT OF SEED PRODUCTIVITY OF VARIEGATED ALFALFA VARIETIES IN NORTHERN KAZAKHSTAN
Bibliographic record
Abstract
Люцерна играет очень важную роль в решении задач кормопроизводства, так как это едва ли не единственная культура, повышающая плодородие почвы и успешно выращиваемая как на богарных, так и на орошаемых землях. Целью исследований является определение сортовых особенностей формирования семенной продуктивности люцерны изменчивой в аридных условиях Северного Казахстана. Исследования проводили на базе стационарных полевых опытов, заложенных в Научно-производственном центре зернового хозяйства им. А. И. Бараева Республики Казахстан. Почва опытного участка – это малогумусный южный карбонатный чернозем, который характеризуется высоким содержанием карбонатов. Изучали 32 сорта люцерны изменчивой разного эколого-географического происхождения, в том числе 10 сортов казахстанской селекции, 18 сортов российской селекции, 3 сорта канадской селекции и 1 сорт – украинской. Установлено, что сорта Шортандинская 2, Карагандинская 1, Карабалыкская 18, Карабалыкская радуга, Карабалыкская жемчужина, Люция 14, Кокше, Лазурная казахстанской селекции, сорта Уралочка, Находка, Сарга российской селекции выделились формированием наибольшей семенной продуктивности 2,31–2,48 ц/га. Установлено, что уборку сортов люцерны на семена можно начинать уже в первый год пользования, при этом не снижается густота травостоя и их продуктивность в последующие годы использования. Выявлена сортовая реакция люцерны изменчивой при использовании на семенные цели. В четвертый год пользования сорта Муслима, Татарская пастбищная, Флора 7, Флора 4 и Ferax семенную продуктивность снизили на 20–29 % относительно продуктивности в третий год пользования, сорта Заря, Гюзель, Воронежская 6 и Rhizoma – на 34–37 %, сорта Благодать и Надежда – на 40–44 %, сорт Rangelander – на 50 %, что свидетельствует о нецелесообразности использования травостоев четвертого года пользования на семена. Alfalfa has an important function in solving the problems of forage production since it is nearly the only crop that increases soil fertility and is successfully grown both on rain-fed and irrigated lands. The purpose of the research is to determine the varietal features of the formation of seed productivity of alfalfa varieties under the arid conditions of Northern Kazakhstan. The research was carried out on the basis of stationary field experiments laid down in A. I. Barayev Research and Production Centre for Grain Farming in the Republic of Kazakhstan. The soil of the experimental site was a low–humus southern carbonate black soil, which is characterized by a high content of carbonates. 32 varieties of variegated alfalfa of different ecological and geographical origin were studied, including 10 varieties of Kazakhstan breeding, 18 varieties of Russian breeding, 3 varieties of Canadian breeding and 1 variety of Ukrainian breeding. It has been found that the varieties Shortandinskaya 2, Karagandinskaya 1, Karabalykskaya 18, Karabalykskaya raduga, Karabalykskaya pearl, Lucia 14, Kokshe, Lazurnaya of Kazakhstan selective breeding, varieties Uralochka, Nakhodka, Sarga of Russian selective breeding were distinguished by the highest seed productivity of 2.31–2.48 dt/ha. It has been established that the harvesting of alfalfa varieties for seeds can be started already in the first year of use, while the density of the herbage and their productivity in subsequent years of use do not decrease. The varietal reaction of variegated alfalfa used for seed purposes was revealed. The fourth year of use showed that varieties Muslim, Tatar pasture, Flora 7, Flora 4 and Ferax reduced seed productivity by 20–29 % relatively to productivity in the third year of use, varieties Zarya, Guzel, Voronezhskaya 6 and Rhizoma – by 34–37 %, varieties Blagodat and Nadezhda – by 40–44 %, Rangelander – by 50 %, which indicates the inexpediency of using grass stands of the 4th use for seeds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".