Paper · 2020 · Bioscience Journal

Crotalaria and millet as alternative controls of root-knot nematodes infecting okra

Daniel Dalvan do Nascimento; Roberta Luiza Vidal; Anderson Alves Pimenta; et al.

5
claims
10
verbatim quotes
16
citations
2
research areas
✓
Open access · cc-by

Abstract

The relationship of crops grown in rotation or in succession has increased every day and the use of antagonistic plants and/or non-host plants is one of the most efficient practices of integrated management of nematodes. This study aimed to evaluate the efficiency of crotalaria (Crotalaria spectabilis Roth) and millet [Pennisetum glaucum (L.) Leeke] ‘ADR 300’ in reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra [Abelmoschus esculentus (L.) Moench] when cultivated in succession. The experiment was conducted in an area cultivating okra (host culture) in rotation, with a history of severe infestation by phytonematoids. The experimental design involved randomized blocks with six treatments and four replicates, with the following treatments: T1, 15 kg.ha-1 of millet seeds; T2, 30 kg.ha-1 of crotalaria; T3, 10 kg.ha-1 of millet + 20 kg.ha-1 of crotalaria; T4, 20 kg.ha-1 of millet + 6 kg.ha-1 of crotalaria; T5, 6 kg.ha-1 of millet + 36 kg.ha-1 of crotalaria; and T6, control. The nematode populations in the soil and roots were evaluated about 60 d after planting okra, and the yield was evaluated at the end of the crop cycle. Simple treatment with millet or crotalaria reduced the nematode population by 61% and 72%, respectively. The millet-crotalaria intercropping treatments reduced the nematode population by up to 85% compared with the control. In terms of productivity, there was an increase of 787 kg.ha-1 in the millet treatment and 2,109 kg.ha-1 in the intercropping treatments. Both the single cultivation of crotalaria or millet and the consortia of crotalaria and millet were effective in controlling the root-knot nematodes, and increased the productivity of okra.

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Claims 5

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Simple treatment with millet reduced the nematode population by 61%.

Treatment
Simple treatment with millete2
Interactor
Meloidogyne incognitaMeloidogyne incognitae1pest
Second interactor
M. javanicaMeloidogyne javanicae1pest
Outcome
nematode populatione2
Direction
reducede2
Value
61%e2

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Abelmoschus esculentus
Abelmoschus esculentus · TaxonKristine Paulus from New York, United States · CC BY 2.0 · Wikimedia Commons ↗
Meloidogyne incognita
Meloidogyne incognita · InteractorPhoto by William Wergin and Richard Sayre. Colorized by Stephen Ausmus. U.S. Department of Agriculture · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra”

✓ located verbatim in the source · abstract, characters 365–472 · show in text ↑
e2

“Simple treatment with millet or crotalaria reduced the nematode population by 61% and 72%, respectively”

✓ located verbatim in the source · abstract, characters 1193–1296 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Crotalaria reduced the nematode population by 72%.

Treatment
crotalariae2
Interactor
Meloidogyne incognitaMeloidogyne incognitae1pest
Second interactor
M. javanicaMeloidogyne javanicae1pest
Outcome
nematode populatione2
Direction
reducede2
Value
72%e2

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Abelmoschus esculentus
Abelmoschus esculentus · TaxonKristine Paulus from New York, United States · CC BY 2.0 · Wikimedia Commons ↗
Meloidogyne incognita
Meloidogyne incognita · InteractorPhoto by William Wergin and Richard Sayre. Colorized by Stephen Ausmus. U.S. Department of Agriculture · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra”

✓ located verbatim in the source · abstract, characters 365–472 · show in text ↑
e2

“Simple treatment with millet or crotalaria reduced the nematode population by 61% and 72%, respectively”

✓ located verbatim in the source · abstract, characters 1193–1296 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Millet treatment increased okra productivity by 787 kg.ha-1.

Treatment
millet treatmente4
Outcome
productivitye4
Direction
increasee4
Value
787 kg.ha-1e4

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Abelmoschus esculentus
Abelmoschus esculentus · TaxonKristine Paulus from New York, United States · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra”

✓ located verbatim in the source · abstract, characters 365–472 · show in text ↑
e4

“In terms of productivity, there was an increase of 787 kg.ha-1 in the millet treatment and 2,109 kg.ha-1 in the intercropping treatments”

✓ located verbatim in the source · abstract, characters 1417–1553 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Intercropping treatments increased okra productivity by 2,109 kg.ha-1.

Treatment
intercropping treatmentse4
Outcome
productivitye4
Direction
increasee4
Value
2,109 kg.ha-1e4

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Abelmoschus esculentus
Abelmoschus esculentus · TaxonKristine Paulus from New York, United States · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra”

✓ located verbatim in the source · abstract, characters 365–472 · show in text ↑
e4

“In terms of productivity, there was an increase of 787 kg.ha-1 in the millet treatment and 2,109 kg.ha-1 in the intercropping treatments”

✓ located verbatim in the source · abstract, characters 1417–1553 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Millet-crotalaria intercropping reduced the nematode population by up to 85% compared with the control.

Treatment
millet-crotalaria intercropping treatmentse3
Interactor
Meloidogyne incognitaMeloidogyne incognitae1pest
Second interactor
M. javanicaMeloidogyne javanicae1pest
Outcome
nematode populatione3
Direction
reducede3
Value
up to 85%e3
Comparator
controle3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Abelmoschus esculentus
Abelmoschus esculentus · TaxonKristine Paulus from New York, United States · CC BY 2.0 · Wikimedia Commons ↗
Meloidogyne incognita
Meloidogyne incognita · InteractorPhoto by William Wergin and Richard Sayre. Colorized by Stephen Ausmus. U.S. Department of Agriculture · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“reducing the population of Meloidogyne incognita and M. javanica and in increasing the productivity of okra”

✓ located verbatim in the source · abstract, characters 365–472 · show in text ↑
e3

“The millet-crotalaria intercropping treatments reduced the nematode population by up to 85% compared with the control”

✓ located verbatim in the source · abstract, characters 1298–1415 · show in text ↑

intercropping · yield · Abelmoschus esculentus (okra)Positive and negative results

46 papers: 25 positive, 21 negative or no effect

24 papers in the same direction as this paper · 21 in the opposite direction

  1. negative
  2. negative
  3. negative

42 papers more in this group

See all 46 papers →

intercropping · Meloidogyne incognita · Abelmoschus esculentus (okra)Results agree

2 papers: 2 positive, 0 negative or no effect

1 paper in the same direction as this paper

  1. positive
See all 2 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.