Author
Listed:
- Jocélia Rosa da Silva
- Arno Bernardo Heldwein
- Andressa JanaÃna Puhl
- Adriana Almeida do Amarante
- Daniella Moreira Salvadé
- Cadmo João Onofre Gregory dos Santos
- Mateus Leonardi
Abstract
The knowledge of the variables specific leaf area and leaf area index is important for direct or indirect quantification of plant growth, development and yield. However, there is a lack of these information due to the difficulty in measuring the leaf area of chamomile. Measuring leaf area by direct methods, such as the use of leaf area integrator is a very laborious and time consuming activity because the plant has many leaves and with small size. The use of leaf dry matter is a promising variable for the leaf area estimation. As an important measure to evaluate plant growth, the present study aimed to obtain a model for chamomile leaf area estimation through leaf dry matter. The experiment was conducted in two sowing dates (March 18 and June 30, 2017) at different plant densities (66, 33, 22, 16, 13, 11 and 8 plants m-2). The leaves of chamomile plants were collected in the plant vegetative and reproductive phases. The leaf area determination was performed using the electronic integration method of leaf area. The specific leaf area was 133 cm2 g-1, with no differences between sowing dates, plant densities and phenological phases of plant collection. The leaf area measured with the electronic leaf area integrator exhibited high correlation with chamomile leaf dry matter and the resulting model of leaf area data by the integrator presented optimum performance. This model is indicated for leaf area determination of chamomile when there is availability of leaf dry matter data.
Suggested Citation
Jocélia Rosa da Silva & Arno Bernardo Heldwein & Andressa JanaÃna Puhl & Adriana Almeida do Amarante & Daniella Moreira Salvadé & Cadmo João Onofre Gregory dos Santos & Mateus Leonardi, 2024.
"Leaf Area Estimation in Chamomile,"
Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(2), pages 429-429, April.
Handle:
RePEc:ibn:jasjnl:v:11:y:2024:i:2:p:429
Download full text from publisher
More about this item
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:11:y:2024:i:2:p:429. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.